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PLOS One logoLink to PLOS One
. 2020 Oct 28;15(10):e0240356. doi: 10.1371/journal.pone.0240356

Perceptual holistic color combination analysis of Papilionidae butterflies as aesthetic objects

Erina Kakehashi 1,*, Keiichi Muramatsu 2, Haruo Hibino 3
Editor: Francesco Bianconi4
PMCID: PMC7592781  PMID: 33112869

Abstract

In this study, we clarified the holistic color combination rules of human-preferred Papilionidae butterflies by examining the hue, lightness, and chroma. A set of 118 Papilionidae butterfly images used in our previous study was analyzed. These images were classified via hierarchical density-based spatial clustering based on perceptual similarities of colors that were obtained from a subjective image classification experiment. The color combinations of the clustered images were determined based on representative colors that were analyzed by a Gaussian mixture model with minimum message length and the color combination types defined in our previous study. Consequently, we obtained the following holistic color combination rules for Papilionidae: 1) contrasting lightness, similar chroma, and similar hue, 2) contrasting lightness, contrasting chroma, and similar hue, 3) similar lightness, similar chroma, and complementary hue, and 4) similar lightness, similar chroma, and similar hue. These rules suggest that minority color harmony theories are valid under particular conditions.

Introduction

Color harmony studies contribute not only to developing color design but also to clarifying the mechanisms of human aesthetic responses. Conventional color harmony theories developed in the past were not always consistent with psychological results [14]. Thus, to achieve consistency between conventional color harmony theories and psychological results, the concept of computational aesthetics has had to be applied to color harmony studies, e.g., clarifying the color combination structures of paintings and butterflies as aesthetic objects [5, 6]. In a previous study, the common color combination rules in paintings were not clarified [5]. In contrast, our previous work [6] focused on the beautiful colors in nature that have been applied to color design [711], and the artistic quality of Papilionidae butterflies [1217]. Therein, the color combination rules of 118 human-preferred Papilionidae butterfly images were clarified [6], i.e., contrasting lightness, similar chroma, and similar hue, which agreed with a part of the psychological color harmony principles [14]. Nevertheless, similar lightness, contrasting chroma, and complementary hue have also been obtained as a minor proportion of results that agree with a part of the conventional color harmony principles [1, 18]. These results suggest that the minority color combinations that do not appear in the psychological results may harmonize limitedly. The color combinations were analyzed according to the color appearance attributes (i.e., lightness, chroma, and hue) independently and were considerably simplified in our previous work. To obtain more detailed color combination rules, the color combinations should be analyzed according to the integrated color appearance attributes. Moreover, in our previous work, the color combinations of classified images based on color similarities were analyzed [6]. Our previous work used a computational image classification method, which did not reflect the human visual perception accurately. To obtain more perceptual results, the color similarities should be measured by a human.

Accordingly, in this study, we aimed to clarify the holistic color combination rules of human-preferred Papilionidae butterflies according to the integrated lightness, chroma, and hue. Furthermore, to implement a more perceptual analysis, we applied color similarities based on human visual perception to a color combination analysis method.

Method

In this study, the method developed in our previous study was improved while preserving its framework [6]. Initially, a subjective image classification experiment was conducted to obtain the perceptual color similarities of images. Subsequently, these similarities were used as Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) variables to classify the images. Then, the color distributions of the image clusters were segmented using the Gaussian mixture model (GMM) to extract representative colors of each cluster. Finally, the positional relations of the representative colors of a cluster on a color space were compared with the color combination types defined in our previous study to determine the color combination characteristics of the clusters.

This study was approved by the ethics committee of Chiba University.

Image classification experiment

To determine the perceptual similarity between each pair of images, we conducted a subjective image classification experiment. Experimental methods to measure the perceptual similarities of images include the following: (a) table scaling experiment, in which observers arrange the stimuli on the table according to their perceptual similarities; (b) computer scaling experiment, where a reference image is compared with some images, and the most similar one to the reference image is selected [19]; and (c) ViSiProG test, wherein some stimuli are presented simultaneously, and observers select and place the similar stimuli in a separate box to form the clusters [20]. To classify images of similar colors, as required in this study, a modified version of the ViSiProG test was designed.

We selected 118 Papilionidae butterfly images, which were used in our previous work as human-preferred Papilionidae butterflies (Fig 1) [6], as the stimuli. These images were centered on a white square-background (R, G, B = 1.0, 1.0, 1.0) covering an area of 12 cm2.

Fig 1. 118 images of butterflies of the Papilionidae family.

Fig 1

The corresponding code numbers are included with each image.

As the experimental environment, two monitors (50 in and 32 in) connected to a MacBook Pro (Retina, 13-inch, Early 2015) (Apple, Inc., Cupertino, CA, USA) were placed in a darkened room (Fig 2). Additionally, a 50 in monitor (TH-50LFE7J, Panasonic, Corp., Osaka, Japan) was positioned to the right of a 32 in monitor (BL3201PT, BenQ, Inc., Taipei, Taiwan). An i1 Display Pro (X-Rite, Inc., Grand Rapids, MI, USA) was used to correct the colors of both monitors. On the 50 in monitor, thumbnail images of all stimuli were presented simultaneously against a black background (R, G, B = 0, 0, 0). The arrangement was in random order and the size was 5 cm2 (Fig 3(A)). Those images were enlarged to 12 cm2 upon double-clicking. On the 32 in monitor, the enlarged images and two folders were presented, and one folder was opened (Fig 3(B)). The folders had a black background (R, G, B = 0, 0, 0) and displayed no extra information (e.g., toolbar and sidebar). The left (32 in) monitor’s background was “Solid Gray Pro Ultra Dark” (R, G, B = 0.188, 0.188, 0.188) in Mac. The viewing distance between the monitor and the observer was 75 cm. Thirty-one observers with normal color vision from Chiba University participated in the experiment (16 males and 15 females, aged from their late teens to 30s).

Fig 2. Experimental environment.

Fig 2

Fig 3. Experiment window.

Fig 3

(a) Folder area on the left monitor. (b) Thumbnail images displayed on the right monitor.

In the experiment, each observer took Ishihara’s test for color deficiency and was taught how to operate the experimental window. They were instructed to classify the stimuli based on only color, independent of shape and pattern. During the experiment, each observer dragged similarly colored images from the right monitor into the same folder on the left monitor. They could not include the same stimulus in the other folders, but could add new folders as necessary. This trial was repeated until all 118 stimuli were classified. The observers were briefed on the experiment and its safety, and provided written consent before beginning the experiment. For minor observers, consent from parents or guardians was not required by the ethics committee.

Image classification

To classify the 118 Papilionidae images, we calculated the similarities of the images based on the experimental results. First, to obtain the similarities, the frequencies at which a pair of images was classified into the same folders in the experiment were divided by the number of observers. The distance matrix was defined by the similarity of each pair of images subtracted from 1. The matrix consisted of 117 rows and columns, and each element of this matrix denotes the distance of each pair of images. Table 1 shows a part of the distance matrix as an example.

Table 1. A part of the distance matrix.

001 002 003 004 005 006 007 008 009
002 0.806
003 0.548 0.871
004 0.742 0.516 0.677
005 0.903 0.839 0.935 0.839
006 0.968 1 1 1 0.968
007 0.935 1 1 1 0.935 0.258
008 0.903 0.968 0.903 0.935 0.903 0.677 0.613
009 0.871 0.839 0.968 0.903 0.935 0.774 0.613 0.806
010 0.935 1 0.968 1 0.935 0.774 0.742 0.839 0.742

Distance of each pair of images coded from 001 to 010 is shown as a lower triangle matrix.

Using the distance matrix, HDBSCAN was performed with the dbscan package of R (The R Foundation, Vienna, Australia) to classify the images [21]. The minimum size of the clusters was two. HDBSCAN is a hierarchically modified density-based spatial clustering of applications with noise (DBSCAN) [22]. It can automatically determine the clusters while removing noise. Because HDBSCAN improve the hierarchical cluster analysis used in our previous work, it was used in this study.

Color combination characteristics

In our previous work, the representative colors of the classified images were extracted by a GMM with the mclust package of R (The R Foundation, Vienna, Australia) [23]. The GMM considers the color distributions as mixed multiple Gaussians and presents the probability density function of the color distributions in each Gaussian mixture component by using three variables, namely, mean values (μ), mixing proportions (πk, the estimated populations that configure a Gaussian), and covariance matrix (Σ), which were considered as the values, sizes, and ranges of a representative color, respectively. In this work, because the proportions under 3% were almost invisible [24], they were excluded from the analysis [6]. The number of components in each cluster was determined from the minimum message length criterion (MML) instead of the Bayesian information criterion (BIC), which was used as the reference value in our previous work [6]). The MML values were calculated for 20 components, because further components would complicate the results. In the MML, the shorter the code build for the data, the better the data generation models are [25]. GMM with MML outperformed those with other criterion, including BIC, in estimating the number of components [25]. Furthermore, it was effective in unsupervised color image segmentation with GMM and automatic estimation of the number of components [26]. Therefore, because GMM with MML improves upon the results obtained in our previous work using GMM with BIC, it was used in this study.

To determine the color combination characteristics of each cluster, we used the same color combination types as defined in our previous work (Table 2) [6]. The representative colors were classified into any one of the categories listed in Table 2 based on the mean values in the CIELCh color space (lightness, chroma, and hue scale in CIELAB) [27]. The color combinations of the clusters were determined from the color combination types in Table 2 based on the category combinations of representative colors.

Table 2. Defined color categories and color combination types in our previous work.

Range Category Similar Contrast
L*, C*ab < = 33 Low Low High
33 < (L*, C*ab) < = 66 Middle Middle -
66 < L*, C*ab High High Low
0 < = hab < 30 1 2, 3, 11, 12 7
30 < = hab < 60 2 1, 3, 4, 12 8
60 < = hab < 90 3 1, 2, 4, 5 9
90 < = hab < 120 4 2, 3, 5, 6 10
120 < = hab < 150 5 3, 4, 7, 8 11
150 < = hab < 180 6 4, 5, 7, 8 12
180 < = hab < 210 7 5, 6, 8, 9 1
210 < = hab < 240 8 6, 7, 9, 10 2
240 < = hab < 270 9 7, 8, 10, 11 3
270 < = hab < 300 10 8, 9, 11, 12 4
300 < = hab < 330 11 1, 9, 10, 12 5
330 < = hab < 360 12 1, 2, 10, 11 6

“Similar” indicates similar color categories, and “Contrast” shows the contrasting color categories.

Results

The selected images were classified into 24 clusters based on their perceptual similarity. Fig 4 depicts the dendrogram of the classified images and their cluster numbers. Table 3 lists the number of components (representative colors) and the best MML values in each cluster. Table 4 shows the μ, πk, and Σ values of each component in the clusters.

Fig 4. Simplified dendrogram showing 24 clusters of 118 images obtained by HDBSCAN.

Fig 4

The eps value shows the value of the epsilon neighborhood parameter. The width of the viatical line shows the number of points (images) in the cluster. Blue rectangles show each cluster. Gray dotted-rectangle shows the images removed as noise.

Table 3. Number of components (“G”) in each cluster (“No.”) selected by GMM.

No. MML model G
1 2729463 VVV 18
2 9626306 VVI 20
3 1237900 VVV 20
4 1687101 VVV 19
5 3472926 VVV 20
6 1391970 VVV 20
7 1939729 VVV 14
8 2309471 VVE 9
9 2203279 VVV 18
10 1388672 VVV 17
11 3116491 VVV 17
12 1123383 VVV 20
13 1371536 VVV 17
14 6779642 VVV 19
15 1203188 VVV 15
16 1276463 VVV 13
17 7602091 VVV 10
18 1508144 VVV 16
19 1328840 VVV 20
20 1918051 VVV 14
21 1929157 VVV 19
22 6122828 VVV 18
23 1426978 VVV 19
24 1142360 VVV 17

The model is parameterized by geometric characteristics determined using the covariance matrix of each component. “VVV” shows an ellipsoidal distribution and varying volume, shape, and orientation. “VVI” shows a diagonal distribution and varying volume and shape. “VVE” shows an ellipsoidal distribution and equal orientation.

Table 4. Proportions (“πk”), mean values (“μ”), and covariance matrices (“∑”) for each component (“No”).

(a)
Cluster 1
No πk μ Σ
L* C*ab hab
1 0.163 2.833 2.79 1.59 22.9
2.294 1.59 1.59 17.3
42.51 22.9 17.3 508
2 0.0722 5.972 7.67 6.08 36.5
6.402 6.08 9.19 21.6
37.4 36.5 21.6 361
3 0.0625 12.24 22.4 16.3 35.9
17.04 16.3 24.6 16.8
40.8 35.9 16.8 105
4 0.1 8.389 10.3 4.21 17.3
4.805 4.21 4.41 10.1
79.04 17.3 10.1 1310
5 0.0413 17.71 51.3 6.14 63.3
5.704 6.14 4.65 32
71.43 63.3 32 730
6 0.0687 20.08 44.9 23.4 34
14.37 23.4 31.2 -42.5
82.98 34 -42.5 726
7 0.083 1.552 0.672 0.218 -3.34
0.9651 0.218 0.362 -7.94
91.81 -3.34 -7.94 656
8 0.088 15.67 19.6 11 4.48
10.92 11 15 15.7
119.6 4.48 15.7 138
9 0.0525 27.34 38.6 6.22 -17.8
16.87 6.22 27.6 35.3
120.3 -17.8 35.3 98
10 0.0474 12.94 40.4 15.3 -108
7.893 15.3 21.5 -28
265.6 -108 -28 2270
11 0.0766 36.52 193 108 -15.5
32.55 108 141 82.6
271.9 -15.5 82.6 174
12 0.031 47.16 180 146 69.7
35.23 146 196 108
130 69.7 108 180
(b)
Cluster 2
No πk μ Σ
L* C*ab hab
1 0.117 4.556 2.91 0 0
5.398 0 5.77 0
34.36 0 0 255
2 0.128 23.88 49.3 0 0
10.51 0 44.3 0
78.69 0 0 687
3 0.07 1.882 1.82 0 0
1.176 0 0.733 0
73.98 0 0 2760
4 0.0822 8.86 6.58 0 0
6.456 0 2.74 0
77.18 0 0 548
5 0.122 11.79 11.2 0 0
12.47 0 17.3 0
68.06 0 0 1190
6 0.0306 20.72 18.2 0 0
24.44 0 30.5 0
131.9 0 0 149
7 0.0328 33.75 63.8 0 0
23.75 0 22.8 0
110.7 0 0 32.7
8 0.0584 45.85 193 0 0
26.18 0 145 0
133.7 0 0 2860
9 0.0413 43.34 93.5 0 0
40.8 0 72 0
131.1 0 0 114
10 0.0303 80.14 11.6 0 0
42.71 0 38.1 0
130.7 0 0 33.9
11 0.0701 68.23 53.3 0 0
63.41 0 114 0
129 0 0 233
12 0.0609 73.45 40.3 0 0
35.23 0 34.2 0
170.8 0 0 764
(c)
Cluster 3
No πk μ Σ
L* C*ab hab
1 0.0883 19.16 16.5 0.298 -2.38
13.63 0.298 0.833 0.275
65.88 -2.38 0.275 9.27
2 0.0663 17.72 8.33 -0.504 1.63
9.96 -0.504 0.139 0.142
82.51 1.63 0.142 0.858
3 0.0417 23.85 130 40.3 -60.1
10.09 40.3 16.4 -18
80.74 -60.1 -18 175
4 0.0784 19.89 37.8 12 13.9
13.92 12 21.1 5
65.92 13.9 5 51.2
5 0.0701 20.78 41.4 0.82 23
10.09 0.82 2.53 8.02
81.81 23 8.02 40.8
6 0.0704 7.679 7.57 5.08 13.6
7.428 5.08 3.9 11.2
68.03 13.6 11.2 66.6
7 0.0544 11.4 8.11 4.06 15.2
12.11 4.06 2.89 7.52
66.4 15.2 7.52 60
8 0.123 12.62 26.9 9.85 12.2
8.134 9.85 7.04 7.54
72.55 12.2 7.54 172
9 0.0378 15.29 16.5 -0.227 1.92
6.538 -0.227 0.288 0.425
90.64 1.92 0.425 10.5
10 0.0743 29.8 108 9.35 27.8
9.609 9.35 5.41 7.51
93.19 27.8 7.51 55
11 0.0327 48.05 234 30.1 41.6
14.38 30.1 19.6 5.12
101.8 41.6 5.12 17.3
12 0.0315 66.7 228 -12.2 62.3
14.71 -12.2 29 4.31
77.38 62.3 4.31 65
13 0.0684 92.59 24.9 -5.51 56.3
5.221 -5.51 6.85 -5.93
94.95 56.3 -5.93 271
14 0.0418 95.47 2.39 -0.997 0.696
7.412 -0.997 3.41 -0.618
117.1 0.696 -0.618 3.67
(d)
Cluster 4
No πk μ Σ
L* C*ab hab
1 0.0358 6.286 5.79 1.72 -0.357
3.2 1.72 0.672 2.41
60.73 -0.357 2.41 111
2 0.0438 7.241 1.16 0.327 0.801
3.571 0.327 0.0931 0.218
64.31 0.801 0.218 0.646
3 0.102 16.38 32.6 2.06 14.1
5.917 2.06 1.62 7.68
86.42 14.1 7.68 64.4
4 0.0938 12.73 8.18 -0.215 1.82
3.802 -0.215 0.047 0.572
65.54 1.82 0.572 9.69
5 0.041 30.83 30.6 -1.27 3.22
9.134 -1.27 0.171 0.158
83.99 3.22 0.158 1.07
6 0.0556 10.95 37.4 4.57 73.9
3.471 4.57 1.74 19.4
73.47 73.9 19.4 972
7 0.0501 19.82 54.9 -1.86 19.2
3.81 -1.86 0.306 3.01
64.22 19.2 3.01 91.7
8 0.0998 25.42 56.1 -3.77 31.9
8.309 -3.77 4.73 -1
86.85 31.9 -1 72.2
9 0.0405 22.1 42.6 -1.5 4.83
6.511 -1.5 0.307 0.744
64.23 4.83 0.744 33.9
10 0.0871 19.51 19.3 -0.501 2.81
6.451 -0.501 0.181 0.351
90.32 2.81 0.351 1.49
11 0.0806 43.46 141 2.24 54.1
10.05 2.24 2.18 7.74
89.34 54.1 7.74 54
12 0.0774 50.92 202 -6.34 7.43
9.017 -6.34 0.737 0.586
101.1 7.43 0.586 4.02
13 0.0594 55.72 370 -4.77 240
5.594 -4.77 2.98 -0.458
95.27 240 -0.458 340
14 0.0421 44.25 141 -2.62 5.94
5.723 -2.62 0.185 0.278
91.78 5.94 0.278 1.39
(e)
Cluster 5
No πk μ Σ
L* C*ab hab
1 0.0537 23.24 6.59 0.0963 3.08
3.173 0.0963 0.268 2.68
68.12 3.08 2.68 121
2 0.0714 22.98 98 8.45 136
3.984 8.45 3.31 39.9
60.53 136 39.9 790
3 0.0439 12.57 7.09 -0.168 1.89
3.806 -0.168 0.0452 0.571
65.52 1.89 0.571 9.71
4 0.122 11.76 10.4 1.51 0.725
6.158 1.51 3.37 4.93
75.65 0.725 4.93 187
5 0.0567 14.29 11.1 4.97 11.9
10.73 4.97 6.18 10.5
73.18 11.9 10.5 69
6 0.0438 28.24 97.6 44.4 16.1
15.52 44.4 30.4 -2.9
80.1 16.1 -2.9 107
7 0.0963 23.62 16.8 2.39 -42.4
3.117 2.39 1.68 -7.58
87 -42.4 -7.58 376
8 0.0647 7.503 8.42 1.62 2.57
3.156 1.62 2.22 -13.7
88.21 2.57 -13.7 734
9 0.0786 13.74 6.02 0.517 -4.23
8.555 0.517 0.545 -0.906
68.32 -4.23 -0.906 35.9
10 0.0306 29.47 160 0.0283 59.9
4.049 0.0283 0.572 4.84
118.2 59.9 4.84 98.8
11 0.0383 19.13 25.7 -0.915 2.99
6.567 -0.915 0.209 0.32
90.5 2.99 0.32 1.4
12 0.0606 11.83 17.2 0.000935 -0.00038
0.001238 0.000935 5.46E-08 -2.6E-08
117.8 -0.00038 -2.6E-08 2.53E-08
13 0.0736 25.68 73.9 -2.08 67
5.454 -2.08 4.24 -15.6
90.19 67 -15.6 381
14 0.0583 49.01 692 -1.83 -743
3.362 -1.83 2.78 16.1
243.5 -743 16.1 2460
(f)
Cluster 6
No πk μ Σ
L* C*ab hab
1 0.0446 3.765 3.48 2.39 18
3.59 2.39 2.82 13.5
35.49 18 13.5 282
2 0.0406 3.245 0.532 0.31 -5.58
2.184 0.31 0.629 -6.56
56.66 -5.58 -6.56 880
3 0.0309 11.1 22.7 8.3 5.55
8.432 8.3 9.64 -9.2
65.11 5.55 -9.2 382
4 0.0458 23.35 31.4 0.659 11.7
11.89 0.659 1.33 3.26
89.58 11.7 3.26 14.1
5 0.113 32.78 135 11.1 51.2
14.82 11.1 11.9 6.09
88.96 51.2 6.09 56
6 0.0496 33.19 34.2 2.54 15.4
14.98 2.54 2.49 5.62
83.87 15.4 5.62 18
7 0.0451 42.72 369 64.9 361
25.6 64.9 52.5 67
68.86 361 67 398
8 0.0563 50.96 353 1.62 299
13.15 1.62 17.5 1.53
82.68 299 1.53 413
9 0.0544 95.63 0.202 -0.0647 0.0188
3.766 -0.0647 1.68 -0.0725
116.8 0.0188 -0.0725 0.549
10 0.0956 80.71 2 -0.346 0.635
7.569 -0.346 1.08 -0.814
117.6 0.635 -0.814 15
11 0.0732 95.56 7.6 -2.95 4.24
5.571 -2.95 6.57 -7.05
115.5 4.24 -7.05 64.5
12 0.0927 77.56 138 -18.4 30.3
15.66 -18.4 23.8 -4.13
104 30.3 -4.13 19.9
13 0.0355 72.58 6.65 -14.9 9.17
27.68 -14.9 60.2 -22
106.1 9.17 -22 16.8
14 0.0355 77.39 11.1 -2.2 19.5
9.278 -2.2 5.78 -13.2
117.2 19.5 -13.2 99.7
15 0.108 79.36 5.92 -2.47 1.05
11.23 -2.47 6.82 -4.9
113.1 1.05 -4.9 17.6
(g)
Cluster 7
No πk μ Σ
L* C*ab hab
1 0.064 1.019 0.681 0.925 11.7
1.911 0.925 1.6 17.5
24.88 11.7 17.5 297
2 0.0756 8.818 9.93 8.36 24.2
9.87 8.36 12.4 12
56.7 24.2 12 141
3 0.0858 4.002 2.68 1.86 15
4.909 1.86 2.99 0.286
51.97 15 0.286 270
4 0.0589 12.5 32.3 21.1 13.4
8.931 21.1 20.1 26.2
88.47 13.4 26.2 1040
5 0.0924 2.289 1.45 0.948 -6.52
2.137 0.948 1.14 -11.9
81.35 -6.52 -11.9 1320
6 0.0415 19.67 40 16.7 28.4
15.1 16.7 30.8 10.6
65.81 28.4 10.6 67.7
7 0.0939 50.76 267 249 -38.9
47.59 249 263 -41
118 -38.9 -41 28.6
8 0.0877 50.11 299 231 3.81
40.56 231 237 -28.9
105.2 3.81 -28.9 139
9 0.0615 91.81 1.79 1.71 1.96
91.32 1.71 1.64 1.88
97.34 1.96 1.88 2.18
10 0.0352 81.35 55.2 49.2 17.6
81.71 49.2 44.2 15.2
93.77 17.6 15.2 17
11 0.138 68.6 22 19 -5.98
73.13 19 21.8 4.81
109.9 -5.98 4.81 23.4
12 0.127 66.39 63.3 54.5 -27.8
66.83 54.5 54.7 -16.3
105.7 -27.8 -16.3 50.9
(h)
Cluster 8
No πk μ Σ
L* C*ab hab
1 0.0805 1.088 0.89 0.858 18.9
1.486 0.858 1.19 24.9
33.69 18.9 24.9 755
2 0.162 7.64 19.4 13 6.42
7.53 13 16.6 8.8
58.2 6.42 8.8 292
3 0.0656 1.763 1.47 1.09 9.61
1.453 1.09 1.47 12.7
100.5 9.61 12.7 386
4 0.0337 0.5271 0.202 0.125 0.357
0.4641 0.125 0.182 0.473
113 0.357 0.473 14.6
5 0.159 39.15 350 267 -6.96
29.06 267 289 -2.21
95.81 -6.96 -2.21 425
6 0.218 72.75 82.3 64.5 -3.14
70.89 64.5 67.4 -2.46
101.1 -3.14 -2.46 42
7 0.188 81.06 43.4 38.5 -1.91
81.45 38.5 34.6 -1.51
95.41 -1.91 -1.51 18.1
8 0.0714 91.01 1.07 0.956 -0.0187
90.59 0.956 0.854 0.000303
96.46 -0.0187 0.000303 1.59
(i)
Cluster 9
No πk μ Σ
L* C*ab hab
1 0.0345 17.52 17.2 19.2 13.5
30.87 19.2 30 13.9
42.34 13.5 13.9 16.6
2 0.0355 10.96 18.1 13.3 32.4
16.45 13.3 26.9 12.3
37.37 32.4 12.3 93.5
3 0.103 30.67 55.3 17.7 35.1
38.47 17.7 18.2 8.36
48.55 35.1 8.36 29.5
4 0.071 28.52 23.6 11.1 9.35
44.75 11.1 16.1 3.18
45.27 9.35 3.18 6.31
5 0.0857 35.22 156 9.17 118
24.94 9.17 31.1 -2.73
57.72 118 -2.73 134
6 0.142 42.58 25.1 4.22 16.2
49.55 4.22 12.9 -2.21
52.88 16.2 -2.21 14.6
7 0.123 49.89 70.5 -29.3 50.2
40.61 -29.3 46 -28.2
59.53 50.2 -28.2 49.6
8 0.0686 62.34 20.8 -13.8 23.2
41.47 -13.8 17.8 -17.2
71.9 23.2 -17.2 31.5
9 0.0345 58.17 73.8 -35.5 85.7
57.06 -35.5 58.6 -69.2
62.88 85.7 -69.2 124
10 0.0878 52.41 26.5 -8.62 21.9
48.86 -8.62 8.09 -8.59
61 21.9 -8.59 20.6
11 0.0401 57.42 83.2 18.8 35
36.42 18.8 52 -0.283
106.9 35 -0.283 175
12 0.0491 75.74 24 -21.9 26.1
32.33 -21.9 94 -20.5
87.49 26.1 -20.5 39.9
13 0.0408 71.72 115 -67.9 183
18.58 -67.9 79 -78.3
91.09 183 -78.3 648
(j)
Cluster 10
No πk μ Σ
L* C*ab hab
1 0.047 20.1 47.2 19.4 41
30.51 19.4 56.6 7.06
42.36 41 7.06 47.3
2 0.132 21.12 53 7.18 58.5
23.51 7.18 16.9 12.7
44.32 58.5 12.7 87.4
3 0.12 15.66 8.58 6.84 5.27
20.78 6.84 10.6 4.67
43.55 5.27 4.67 16.6
4 0.119 31.75 114 23.8 63.6
23.03 23.8 24.1 -6.76
59.84 63.6 -6.76 108
5 0.07 21.12 12.4 5.81 2.31
22.79 5.81 8.45 1.5
66.73 2.31 1.5 5.49
6 0.0527 13.61 11.3 12 9.66
17.91 12 16.5 6.15
63.82 9.66 6.15 23.1
7 0.0448 55.24 303 0.527 310
20.55 0.527 30.1 23.6
73.48 310 23.6 478
8 0.0497 33.22 32.8 -1.92 2.8
26.77 -1.92 2.47 1.92
65.77 2.8 1.92 4.35
9 0.0881 45 95.7 -9.57 18.3
29.24 -9.57 10.7 -1.27
69.26 18.3 -1.27 9.03
10 0.0531 76.55 68.2 -52.2 21.2
23.61 -52.2 95.8 0.0701
80.24 21.2 0.0701 22.9
11 0.0608 91.78 13.6 -8.44 8.25
6.639 -8.44 6.22 -2.28
83.75 8.25 -2.28 50.3
12 0.0543 89.42 1.68 -1.82 2.57
14.64 -1.82 8.76 -7.35
112.4 2.57 -7.35 19.8
13 0.0331 90.29 18.7 -3.67 32.3
19.47 -3.67 29.1 -33.9
119.5 32.3 -33.9 123
(k)
Cluster 11
No πk μ Σ
L* C*ab hab
1 0.0873 24.82 21.9 11.2 11.4
32.27 11.2 10.2 5.43
46.75 11.4 5.43 10.1
2 0.0739 13.12 19.7 18.9 12.1
17.94 18.9 23.8 11
39.2 12.1 11 30.7
3 0.0433 9.028 14.3 16.9 25.2
18.27 16.9 48.2 21.8
31.63 25.2 21.8 57.2
4 0.143 35.85 54 18.2 15.1
22.87 18.2 13.8 6.32
81.98 15.1 6.32 11.4
5 0.077 41.96 220 65.6 171
21.73 65.6 51.4 21.5
73.64 171 21.5 394
6 0.12 33.07 76.3 9.2 51.4
34.2 9.2 25.6 4.78
50.2 51.4 4.78 46.3
7 0.0528 59.26 141 -117 228
35.93 -117 235 -284
75.21 228 -284 474
8 0.0411 84.29 15.4 2.27 -19.1
8.911 2.27 11.5 -17.7
118 -19.1 -17.7 116
9 0.107 73.96 74.8 -13.8 129
18.42 -13.8 34.9 -44.8
104.7 129 -44.8 366
10 0.0354 80.23 4.43 -3.19 4.49
13.3 -3.19 5.79 -8.17
130.2 4.49 -8.17 22.4
11 0.0741 82.09 15.1 -6.3 43.6
7.432 -6.3 6.32 -21.6
145 43.6 -21.6 363
12 0.0539 82.15 5.9 -1.65 15
4.539 -1.65 1.73 -6.75
181.2 15 -6.75 599
(l)
Cluster 12
No πk μ Σ
L* C*ab hab
1 0.0784 11.86 4.83 7.85 4.83
22.29 7.85 14.6 7.25
37.91 4.83 7.25 9.49
2 0.144 10.84 8.68 7.23 13.4
13.65 7.23 7.1 9.49
51.07 13.4 9.49 31.1
3 0.0539 18.8 9.04 7.7 5.53
31.3 7.7 10.6 3.97
43.63 5.53 3.97 6.34
4 0.0549 8.353 21.4 15 67
8.408 15 13 51.7
39.11 67 51.7 295
5 0.0352 21.3 51.3 21 66.3
13.59 21 22.1 58.9
54.57 66.3 58.9 312
6 0.097 7.691 15.3 20.7 29.1
14.08 20.7 34.1 35.8
33.24 29.1 35.8 73.9
7 0.0396 12.39 20.9 14.5 36.9
24.24 14.5 39.6 14.7
36.21 36.9 14.7 74.3
8 0.0738 5.496 1.54 1.9 -0.597
7.849 1.9 4.16 -5.27
37.58 -0.597 -5.27 64.4
9 0.105 18.67 15.7 7.14 7.59
18.51 7.14 6.14 2.06
57.71 7.59 2.06 17.1
10 0.0466 22.73 33.3 16.6 22.3
32.11 16.6 38 7.73
44.1 22.3 7.73 21.2
11 0.0449 49.15 284 111 106
30.25 111 74.8 7.66
84.45 106 7.66 123
12 0.0602 83.58 35.9 4.9 17.3
40.03 4.9 29.9 0.171
99.04 17.3 0.171 21.7
13 0.0372 91.48 3.71 -4.82 2.54
37.56 -4.82 15.3 -5.63
95.81 2.54 -5.63 3.45
14 0.0492 82.21 1.95 -5.1 0.819
38.05 -5.1 23.8 -3.26
100.5 0.819 -3.26 2.08
(m)
Cluster 13
No πk μ Σ
L* C*ab hab
1 0.0991 7.73 5.09 2.95 -12
6.827 2.95 5.58 -1.97
82.95 -12 -1.97 278
2 0.082 4.357 3.48 1.9 -14.1
3.694 1.9 2.92 -18
82.43 -14.1 -18 720
3 0.0422 26.05 71 8.21 11.8
12.27 8.21 8.33 5.3
104.1 11.8 5.3 7.84
4 0.0449 15.55 24.9 6.46 -5.92
7.489 6.46 9.73 -9.99
93.23 -5.92 -9.99 271
5 0.0381 12.34 11.9 10 1.51
12.17 10 18 6.78
94.43 1.51 6.78 105
6 0.0536 28.32 63.1 13.8 11.2
18.47 13.8 34.9 15.2
97.62 11.2 15.2 34.4
7 0.074 55.83 179 37.3 15.5
26.39 37.3 34.1 2.62
105 15.5 2.62 20.7
8 0.127 43.15 240 131 -14.8
25.35 131 107 -21.8
107.5 -14.8 -21.8 16.9
9 0.0934 67.43 82.2 18.3 -9.06
35.91 18.3 20.6 -3.28
107.2 -9.06 -3.28 7.68
10 0.135 78.75 14.4 3.91 0.469
44.45 3.91 31.8 -10
105.9 0.469 -10 9.01
11 0.106 78.94 0.723 0.948 -0.346
41.65 0.948 8.23 -4.45
107.5 -0.346 -4.45 6.22
(n)
Cluster 14
No πk μ Σ
L* C*ab hab
1 0.0764 28.44 95.5 29.4 118
18.57 29.4 32.3 37.5
56.51 118 37.5 220
2 0.056 24.15 35.4 2.84 20.1
16.14 2.84 6.89 1.54
59.25 20.1 1.54 58
3 0.0852 10.06 17.7 10.9 38.5
10.77 10.9 14.9 13.1
44.22 38.5 13.1 202
4 0.0498 13.53 22.1 14.9 38.8
19.71 14.9 30.7 10.8
43.31 38.8 10.8 108
5 0.038 4.167 6.76 3.88 40.1
3.504 3.88 4.01 20.6
39.26 40.1 20.6 515
6 0.0429 25.04 33.4 13.2 11.4
22.69 13.2 12.9 1.42
61.55 11.4 1.42 9.19
7 0.05 27.97 56.6 17.9 39.1
33.36 17.9 21.5 9.99
48.04 39.1 9.99 36.7
8 0.0339 37.47 270 37 22.9
12.04 37 23.4 -3.66
75.56 22.9 -3.66 398
9 0.0902 46.73 97.2 -0.232 55.4
27.09 -0.232 24.1 0.492
71.25 55.4 0.492 41.1
10 0.07 62.89 167 -33.3 171
23.27 -33.3 71.7 -101
84.11 171 -101 307
11 0.038 61.64 90.7 67.4 70.1
52.81 67.4 169 -38.7
76.62 70.1 -38.7 145
12 0.0639 75.67 55 -13.3 54.1
16.72 -13.3 14.3 -7.93
88.18 54.1 -7.93 67.6
13 0.0868 70.42 84.7 -3.68 42.1
31.89 -3.68 95.5 -12.2
89.69 42.1 -12.2 47.8
14 0.0705 88.54 18.3 1.23 7.04
16.82 1.23 12.6 -9.54
102.2 7.04 -9.54 17.5
15 0.0913 79.83 14.7 -4.71 2.6
26.17 -4.71 36.7 -8.63
97.63 2.6 -8.63 11.3
(o)
Cluster 15
No πk μ Σ
L* C*ab hab
1 0.0693 25.34 25.6 4.64 16.5
29.74 4.64 18 2.47
46.84 16.5 2.47 17.5
2 0.0509 11.26 20.9 13.1 34.8
17.41 13.1 22.7 15.1
38.8 34.8 15.1 91.8
3 0.0626 13.77 26.4 11.1 37.9
11.48 11.1 11.9 9.26
62.72 37.9 9.26 101
4 0.0857 50.54 199 -25.8 186
31.37 -25.8 42.7 -33.5
71.98 186 -33.5 202
5 0.0878 33.81 129 -10.9 151
20.35 -10.9 34.2 -58.8
76.56 151 -58.8 320
6 0.0511 65.85 195 36.2 76.5
33.73 36.2 185 -89.8
93.17 76.5 -89.8 124
7 0.121 90.91 0.539 -1.52 0.941
27.61 -1.52 13.3 -4.09
103.3 0.941 -4.09 2.23
8 0.161 78.57 17.2 2.58 8.52
32.6 2.58 12.9 -2.8
102.8 8.52 -2.8 9.8
9 0.0754 91.11 13.5 -3.31 10.2
26.44 -3.31 13.8 -6.54
102.2 10.2 -6.54 11.2
10 0.109 72.61 114 -4.41 48.9
24.66 -4.41 37.6 -25.1
95.15 48.9 -25.1 50.1
11 0.0516 84.62 1.29 -3.08 0.735
30.69 -3.08 25.1 -8.3
104.7 0.735 -8.3 4.6
(p)
Cluster 16
No πk μ Σ
L* C*ab hab
1 0.053 3.178 7.27 7.37 27.1
4.671 7.37 9.14 33.2
25.77 27.1 33.2 189
2 0.109 7.457 7.66 5.7 15.3
7.645 5.7 8.53 -0.0991
57.94 15.3 -0.0991 97.3
3 0.0845 14.49 24 11.1 31.5
11.24 11.1 21.7 -4.76
71.95 31.5 -4.76 229
4 0.0822 32.06 100 38.1 49.4
19.95 38.1 41.5 -6.23
87.39 49.4 -6.23 146
5 0.0673 4.425 2.67 1.2 3.86
3.062 1.2 1.51 1.6
65.56 3.86 1.6 315
6 0.0857 60.11 136 23.5 34.9
33.04 23.5 38.3 -13.8
93.39 34.9 -13.8 49.1
7 0.0438 80.85 47 -17.8 32.7
32.96 -17.8 18.8 -10.3
95.38 32.7 -10.3 26.5
8 0.0868 88.01 17.1 1.7 10.1
42.11 1.7 12.2 -2.51
98.38 10.1 -2.51 8.93
9 0.123 78.37 14.6 -13.3 1.94
38.84 -13.3 20.1 -0.412
94.68 1.94 -0.412 1.34
10 0.12 75.12 67.6 -23.5 28.7
40.72 -23.5 31.7 -14.9
95.07 28.7 -14.9 17.7
11 0.106 88.91 0.823 -0.703 1.12
43.46 -0.703 6.03 -1.75
99.44 1.12 -1.75 1.84
(q)
Cluster 17
No πk μ Σ
L* C*ab hab
1 0.0934 1.757 1.55 1.63 24
2.504 1.63 2.17 26.9
39.87 24 26.9 534
2 0.17 6.815 7.92 5.27 19.3
7.339 5.27 8.8 -2.91
56.23 19.3 -2.91 249
3 0.0911 3.277 2.14 1.35 -13.9
2.305 1.35 1.86 -14
74.9 -13.9 -14 1240
4 0.192 16.35 27.2 12.3 16.8
14.75 12.3 19.1 2.33
63.17 16.8 2.33 65.3
5 0.11 29.12 123 7.59 124
16.86 7.59 46.5 13.2
63.83 124 13.2 214
6 0.0386 0.8006 0.171 0.136 -3.13
0.7935 0.136 0.211 -4.46
95.03 -3.13 -4.46 420
7 0.127 68.41 317 -32.1 170
16.53 -32.1 178 -14.2
85.81 170 -14.2 435
8 0.0636 76.15 186 169 62.1
71.75 169 170 47.8
92.85 62.1 47.8 39.3
9 0.095 89.35 11.3 10 13.1
89.18 10 8.91 11.6
94.33 13.1 11.6 15.3
(r)
Cluster 18
No πk μ Σ
L* C*ab hab
1 0.0476 8.379 28.6 7.43 116
3.279 7.43 2.57 38.9
53.48 116 38.9 652
2 0.0563 5.994 8.89 3.81 3.2
4.2 3.81 2.91 9.28
76.43 3.2 9.28 210
3 0.0805 25.28 24.9 3.03 15.5
11.2 3.03 1.87 5.72
88.06 15.5 5.72 19.6
4 0.112 16.58 12.3 2.39 8.2
7.358 2.39 2.13 5.32
91.79 8.2 5.32 13.8
5 0.237 21.2 59.7 12.3 9.17
10.17 12.3 7.94 6.08
90.69 9.17 6.08 63.5
6 0.129 53.85 289 27.5 39.3
16.14 27.5 22.7 -1.27
100.9 39.3 -1.27 26.8
7 0.0621 85 43 -4 -2.88
14.15 -4 13.9 2.55
104.4 -2.88 2.55 6.82
8 0.0781 92.75 21.6 -7.8 3.04
7.727 -7.8 9.51 -8.75
111.5 3.04 -8.75 64.8
9 0.0409 92.8 20.7 -34.6 8.23
22.8 -34.6 127 -19.5
106.2 8.23 -19.5 6.6
10 0.046 83.62 29.3 20.2 3.34
76.68 20.2 23.1 1.77
101.2 3.34 1.77 0.948
(s)
Cluster 19
No πk μ Σ
L* C*ab hab
1 0.0678 9.571 4.95 3.47 10.8
13 3.47 3.02 7.6
56.61 10.8 7.6 33.3
2 0.0336 5.607 4.39 6.98 3
9.399 6.98 12.4 2.21
50.41 3 2.21 28.3
3 0.0417 4.763 2.13 2.2 1.73
7.892 2.2 2.65 1.52
41.03 1.73 1.52 12.6
4 0.0563 24.95 63.5 9.87 54.7
21.78 9.87 36.4 7.91
64.7 54.7 7.91 84
5 0.0828 27.61 44.4 25.9 11.7
27.75 25.9 54 -4.38
66.62 11.7 -4.38 12.3
6 0.0831 15.54 12.4 8.91 11
18.03 8.91 14.6 7.12
63.79 11 7.12 24.7
7 0.151 42.11 92.6 0.843 19
28.62 0.843 10.1 1.35
68.18 19 1.35 10.6
8 0.0752 57.23 232 52.3 86.9
30.69 52.3 108 48.3
78.23 86.9 48.3 57.9
9 0.0876 74.49 106 -38.6 54.6
18.06 -38.6 27.9 -13
78.51 54.6 -13 49.9
10 0.116 87.69 13.5 -8.21 12.6
9.575 -8.21 7.66 -6.12
84.86 12.6 -6.12 36.4
11 0.0465 89.96 9.83 -4.18 2.37
6.625 -4.18 3.23 3.37
81.79 2.37 3.37 67.7
(t)
Cluster 20
No πk μ Σ
L* C*ab hab
1 0.0577 5.365 8.67 7.38 0.361
5.519 7.38 7.06 -1.76
59.86 0.361 -1.76 90.1
2 0.0699 1.604 1.08 1.24 16.7
2.551 1.24 1.78 20.8
37.36 16.7 20.8 379
3 0.13 11.3 9.06 7.84 14.4
14.86 7.84 9.95 7.9
59.86 14.4 7.9 39.5
4 0.0839 5.061 4.51 5.15 14.1
8.171 5.15 7.41 13.7
44.92 14.1 13.7 91.2
5 0.17 22.45 19.5 0.64 1.34
21.05 0.64 3.38 0.224
65.41 1.34 0.224 6.64
6 0.0887 31.75 183 30.4 116
20.07 30.4 66.5 25.6
64.78 116 25.6 152
7 0.0583 28.34 25.7 -1.99 0.888
26.22 -1.99 1.59 0.156
64.36 0.888 0.156 3.14
8 0.107 16.51 11.7 3.21 5.4
15.19 3.21 5.34 4.93
65.4 5.4 4.93 18.3
9 0.0382 86.31 93.8 -25.5 109
11.43 -25.5 28.7 -42.4
89.53 109 -42.4 166
10 0.0641 91.36 11.9 -5.07 6.66
8.602 -5.07 7.28 -0.354
87.18 6.66 -0.354 38.1
11 0.0595 75.15 123 20.2 41
40.72 20.2 248 21.6
86.14 41 21.6 27.7
12 0.0347 86.22 8.15 12.7 8.35
73.56 12.7 177 21.5
90.73 8.35 21.5 9.86
(u)
Cluster 21
No πk μ Σ
L* C*ab hab
1 0.0479 4.719 3.86 2.48 -8.33
3.69 2.48 2.96 -13.4
52.05 -8.33 -13.4 543
2 0.0632 20.87 41.3 5.49 35
17.1 5.49 7.78 4.83
47.09 35 4.83 56.2
3 0.167 8.876 10.8 7.39 23.7
9.31 7.39 8.78 14.4
52.45 23.7 14.4 183
4 0.0356 11.91 31.3 30.6 40
18.4 30.6 70.2 35.1
32.95 40 35.1 71.5
5 0.103 16.83 9.66 0.943 2.21
13.62 0.943 1.29 0.154
67.46 2.21 0.154 11.3
6 0.0668 16.44 21 6.46 -5.75
10.55 6.46 5.81 -2.79
64.16 -5.75 -2.79 75.7
7 0.045 8.297 5.61 2.49 7.3
7.55 2.49 1.25 3.19
65.58 7.3 3.19 13.5
8 0.0903 28.25 71.5 -4.45 17.1
15.8 -4.45 8.5 1.13
63.87 17.1 1.13 53.6
9 0.114 4.179 1.68 1.1 2.12
4.544 1.1 1.02 0.0985
60.01 2.12 0.0985 65.9
10 0.0785 45.65 108 -18.6 45.4
18.06 -18.6 11.9 -7.16
71.81 45.4 -7.16 43.1
11 0.0375 84.22 50.2 -14.7 28.3
11.98 -14.7 11.7 -5.32
85.52 28.3 -5.32 35.3
(v)
Cluster 22
No πk μ Σ
L* C*ab hab
1 0.082 6.135 7.06 7.87 17.2
8.317 7.87 11.9 17.6
33.76 17.2 17.6 162
2 0.0986 28.67 50.5 15.3 41.8
24.68 15.3 14.6 13.6
48.87 41.8 13.6 53.2
3 0.1 25.62 34.2 7.25 21.3
29.4 7.25 10.8 3.13
46.91 21.3 3.13 20.1
4 0.146 17.14 15.1 11.5 11.1
22.9 11.5 24.6 6.36
42.75 11.1 6.36 23.1
5 0.0777 20.68 71.4 27.8 52.2
15.43 27.8 30.5 16.7
52.27 52.2 16.7 343
6 0.11 9.851 9.05 9.32 16.7
15.5 9.32 14.7 14.7
35.92 16.7 14.7 52.8
7 0.0369 3.537 0.824 0.813 -1.14
3.379 0.813 1.84 -2.9
38.49 -1.14 -2.9 399
8 0.044 26.42 28.8 14.9 2.1
26.23 14.9 12.8 1.38
69.02 2.1 1.38 6.86
9 0.0714 40.72 95.5 -28.7 57.6
29.5 -28.7 28.1 -21
55.9 57.6 -21 43.8
10 0.0634 53.6 147 -19.1 156
19.33 -19.1 30.5 4.38
71.02 156 4.38 271
11 0.0557 33.74 66.1 8.6 66.2
24.14 8.6 8.36 7.36
63.53 66.2 7.36 143
(w)
Cluster 23
No πk μ Σ
L* C*ab hab
1 0.124 24.48 34.5 6.58 28.6
29.86 6.58 14.8 3.14
47.91 28.6 3.14 37.2
2 0.0519 9.605 9.31 12.8 16.4
16.75 12.8 21.1 20.3
36.36 16.4 20.3 44.6
3 0.0785 16.68 24.9 12.5 39.3
23.5 12.5 17.1 15.2
45.13 39.3 15.2 80.5
4 0.0525 25.86 39.3 -4.02 13.3
19.87 -4.02 1.71 -6.12
72.05 13.3 -6.12 35.5
5 0.0504 26.73 129 83.2 134
19.39 83.2 79.5 40.4
68.75 134 40.4 757
6 0.14 18.31 21.7 11 14.5
17.77 11 13.6 0.785
68.95 14.5 0.785 47.2
7 0.0333 6.217 5.88 5.04 -1.83
6.745 5.04 7.89 -26
67.82 -1.83 -26 343
8 0.115 28.15 24.3 10.6 2.73
24.38 10.6 24.3 -22.7
66.68 2.73 -22.7 45
9 0.0529 37.04 57.7 -3.34 25.9
23.83 -3.34 2.57 -4.92
71.96 25.9 -4.92 28.3
10 0.0521 39.71 33.7 -5.39 16.4
29.02 -5.39 2.48 -6.18
70.25 16.4 -6.18 25.8
11 0.0652 36.34 187 -8.44 115
10.54 -8.44 17 -54.6
91.31 115 -54.6 372
12 0.0523 53.07 421 29 35.9
6.988 29 8.89 43.6
191.6 35.9 43.6 832
(x)
Cluster 24
No πk μ Σ
L* C*ab hab
1 0.0365 1.449 1.06 1.16 16.2
2.449 1.16 1.84 18.2
33.44 16.2 18.2 364
2 0.0953 5.192 4.44 4.36 12
7.614 4.36 7.06 5.14
46.65 12 5.14 120
3 0.142 10.26 7.49 6.44 14.6
14.17 6.44 9.15 7.82
57.52 14.6 7.82 47.5
4 0.0674 19.87 42.5 17.1 27.9
15.11 17.1 15.5 11.1
60.32 27.9 11.1 46.6
5 0.111 23.58 22.9 -1.23 0.832
21.08 -1.23 1.17 0.529
64.34 0.832 0.529 4.41
6 0.0861 32.07 43.7 -0.461 0.503
24.16 -0.461 2.42 0.362
66.7 0.503 0.362 8.61
7 0.13 16.26 12 8.62 8.21
18.15 8.62 15.6 1.89
63.71 8.21 1.89 18.9
8 0.0328 33.98 287 178 131
24.48 178 123 91.6
87.18 131 91.6 108
9 0.0836 46.32 149 0.449 49.8
21.83 0.449 25.3 8.93
69.91 49.8 8.93 39.7
10 0.0399 44.79 134 112 13.8
38.25 112 104 11.9
102.8 13.8 11.9 28
11 0.0403 75.51 86.4 -14.7 37.3
14.16 -14.7 15.9 5.77
77.15 37.3 5.77 50.7
12 0.0316 84.28 25.1 -0.791 28.8
9.931 -0.791 1.15 0.208
79.17 28.8 0.208 58.9
13 0.035 93.64 9.53 -4.38 21.4
6.116 -4.38 3.84 -10.6
90.94 21.4 -10.6 104

μ and ∑ in each component were arranged vertically in order of L*, C*ab, and hab. Note that as the components that have πk < 3% were excluded from analysis, the number of components in each cluster differs from those in Table 4. (a)-(x) show the clusters 1–24, respectively.

From an interpretation of Table 4 according to the definition of Table 2, the color combinations of the clusters tend to exhibit the following four patterns:

  1. contrasting lightness, similar chroma, and similar hue

  2. contrasting lightness, contrasting chroma, and similar hue

  3. similar lightness, similar chroma, and complementary hue

  4. similar lightness, similar chroma, and similar hue

Figs 57 depict the relative frequencies of CIELCh categories in each cluster of the color combination patterns 1–4. In Fig 5, 11 clusters were included in pattern 1. In terms of lightness (Fig 5(A)), low-category colors were more frequent than their high-category counterparts; there were a few mid-category colors. This result indicates the dominant low lightness and contrasting lightness combinations. In terms of chroma (Fig 5(B)), the low categories were the most frequent. There were a few middle categories, but no high categories. This indicates the presence of dominant low chroma and similar chroma combinations. In terms of hue (Fig 5(C)), the hues 2–4 occurred relatively more frequently; additionally, no further than the sixth hue was present. This indicates the dominant orange to yellow (the ranges of hue names in CIELCh were determined based on [28, 29]) and similar hue combinations. Therefore, these clusters mainly have contrasting lightness, similar chroma, and similar hue combinations.

Fig 5.

Fig 5

Relative frequencies of (a) L*, (b) C*ab, and (c) hab categories in color combination pattern 1.

Fig 7.

Fig 7

Relative frequencies of (a) L*, (b) C*ab, and (c) hab categories in color combination pattern 3.

As shown in Fig 6, five clusters were included in pattern 2. In terms of lightness (Fig 6(A)), the same tendency as that in Fig 5(A) was observed. As for chroma (Fig 6(B)), the same tendency as that of lightness appeared. These results indicate the dominant low lightness (chroma) and contrasting lightness (chroma) combinations. In terms of hue (Fig 6(C)), the hues 2–4 occurred relatively more frequently, and no further than the fourth hue appeared. This indicates the dominant orange to yellow and similar hue combinations. Therefore, these clusters mainly have contrasting lightness, contrasting chroma, and similar hue combinations.

Fig 6.

Fig 6

Relative frequencies of (a) L*, (b) C*ab, and (c) hab categories in color combination pattern 2.

As shown in Fig 7, three clusters were included in pattern 3. In terms of lightness (Fig 7(A)), the low categories were the most frequent. There were few middle categories, and no high categories. In terms of chroma (Fig 7(B)), the same tendency as that of lightness appeared. These indicate the dominant low lightness (chroma) and similar lightness (chroma) combinations. In terms of hue (Fig 7(C)), the hues 2–4 occurred relatively more frequently, and there were a few ninth and tenth hues. These indicate the dominant orange and complementary hue combinations. Thus, these clusters mainly have similar lightness, similar chroma, and complementary hue combinations.

In Fig 8, two clusters were included in pattern 4. In terms of lightness and chroma (Fig 8(A) and 8(B)), the same tendencies as those in Fig 7(A) and 7(B) appeared, respectively. These indicate the dominant low lightness (chroma) and similar lightness (chroma) combinations. In terms of hue (Fig 8(C)), the same tendency as that in Fig 6(C) appeared. These indicate the dominant orange and similar hue combinations. Accordingly, these clusters mainly have similar lightness, similar chroma, and similar hue combinations.

Fig 8.

Fig 8

Relative frequencies of (a) L*, (b) C*ab, and (c) hab categories in color combination pattern 4.

The above four patterns did not appear in clusters 9, 11, and 16. In cluster 9 (Table 4(i)), the middle lightness and chroma were dominant. The hues 2–4 were frequent. Thus, cluster 9 only has similar hue combinations. In cluster 11 (Table 4(k)), the middle and high lightness were frequent. The low chroma was most frequent. There were a few middle chroma and no high chroma. The hues 2–4 were frequent. Thus, cluster 11 mainly had similar chroma and similar hue combinations. In cluster 16 (Table 4(p)), the low and high lightness were frequent, along with the low and middle chroma. Further, the hues 2–4 were frequent. Therefore, cluster 16 mainly has contrasting lightness and similar hue combinations.

In addition, these color combination patterns are not always consistent with the characteristics of the dendrogram in Fig 4. In this dendrogram, the higher the similarity of colors of images, the greater the belongingness of the corresponding images to the adjacent branches. However, a few clusters that have the same color combination pattern are found farther from each other. Further, in Fig 4, the conspicuous chromatic colors of the clusters that belong to the same branch are similar. In fact, clusters 7 and 8, which belong to the same branch, consist of images of yellow and yellow-green butterflies. Similarly, clusters 1 and 2 consist of images of blue-green butterflies; clusters 12–20 consist of images of yellow butterflies. (Note that the relative areas of the conspicuous chromatic colors are different.) Therefore, the results of the image clustering in this study could be influenced by the conspicuous chromatic colors as well.

Discussion and limitations

We obtained the holistic color combination rules of human-preferred Papilionidae butterflies for 4 different categories, as mentioned previously. In the previous psychological color harmony studies, the following robust color harmony principles were invariably obtained: “High lightness,” “Unequal lightness values” (large lightness difference), “Equal chroma” (same or similar in chroma color), and “Equal hue” (same or similar hue color) [14]. The above three principles, except “High lightness,” qualitatively agreed with the results of our previous work, i.e., contrasting lightness, similar chroma, and similar hue [6]. In addition to our previous work, the color combination pattern 1 is also consistent with the above three principles (e.g., “Unequal lightness values,” “Equal chroma,” and “Equal hue”) in this study. As they appeared most frequently in the clusters, the contrasting lightness, similar chroma, and similar hue are the most dominant color combinations of human-preferred Papilionidae butterflies.

Similar lightness, contrasting chroma, and complementary hue differ from the above principles; however, they appeared in the color combination patterns 2–4 and in the minority of results in our previous work [6]. The similar lightness and complementary hue qualitatively agree with the “equal lightness” and “complementary hue” that are part of the conventional color harmony principles [1]. The contrasting chroma appears in the results of Chuang and Ou as well, and their results exhibited large 95% confidence intervals [18]. It is likely that these color combinations did not appear because the color appearance attributes were handled independently and those results were simplified in previous psychological color harmony studies. In contrast, this study investigated the results by integrating color appearance attributes. Therefore, these color combinations may not be universal, but may harmonize to a limited extent. The conditions for this are as follows. The similar lightness harmonizes by combining similar chroma. The contrasting chroma harmonizes by combining contrasting lightness and similar hue. The complementary hue harmonizes by combining similar lightness and similar chroma.

Furthermore, this study has several limitations. Initially, the conditions that harmonize similar lightness, contrasting chroma, and complementary hue were shown. As these color combination rules were obtained from the human-preferred Papilionidae butterflies for which the color harmony was demonstrated in our previous work, these rules are valid. However, we cannot conclude these results for color harmony theories based on limited samples. Psychological experiments to investigate the harmonies of the color combinations under those conditions are required in future work.

Subsequently, the color combination types were defined based on the ranges of segmented color space. These definitions of similar and contrasting color combinations may not always agree with perception. To achieve a more perceptual color combination analysis, the threshold of similarity and contrast must be determined experimentally in future work.

Moreover, it is suggested that the results of image clustering based on the human visual perception in this study were influenced by the conspicuous chromatic colors. Therefore, in the future work, the conspicuous chromatic colors should also be included in the color combination analysis.

Similarly, the concepts of the methods of our previous study and this study must be regulated, to compare the results. In our previous study, we employed a simple and conventional approach to obtain standard results (i.e., data comparable with the results of the future works) because the color combination analysis method has not been established until now. On the other hand, because a fuzzy logic is applied to color image segmentation and color planning system based on the image [8, 3032], the same can be applied to color combination analysis in future works as well.

Finally, the method used in this study can be improved to enable application to the color combination analysis of other aesthetic objects (e.g., flowers, jewelries, etc.). We will analyze and clarify the color combination rules of other aesthetic objects in our future works. If the aesthetic objects reflect the human psychological aesthetic responses, the color combination rules of other aesthetic objects may agree with the results of this study and previous color harmony studies. Moreover, the color combination rules peculiar to other aesthetic objects could also be shown.

Conclusion

In this study, we aimed to clarify the perceptual holistic color combination rules of human-preferred Papilionidae butterflies. To achieve this, the Papilionidae butterfly images were classified via hierarchical density-based spatial clustering based on experimentally obtained perceptual color similarities. The color combinations of the clustered images were determined based on representative colors extracted by the GMM with minimum message length. We obtained the following holistic color combination rules of Papilionidae:

  1. contrasting lightness, similar chroma, and similar hue

  2. contrasting lightness, contrasting chroma, and similar hue

  3. similar lightness, similar chroma, and complementary hue

  4. similar lightness, similar chroma, and similar hue

The first rule agrees with the results of our previous work and some of the most robust harmony principles of psychological studies. The other rules suggest that similar lightness, contrasting chroma, and complementary hue harmonize to a limited extent. Future studies will focus on the following issues:

  • Experimental verification of the harmonies of the above color combination rules, except the first rule

  • Color combination analysis of other aesthetic objects

  • Further perceptual analysis based on the conspicuous chromatic colors and a fuzzy logic

  • Experimental clarification of the threshold for similar and contrasting color combinations

Data Availability

All relevant data are within the manuscript.

Funding Statement

The authors received no specific funding for this work.

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Associated Data

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Data Availability Statement

All relevant data are within the manuscript.


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