Skip to main content
. 2019 Dec 23;20:297. doi: 10.1186/s13059-019-1917-7

Table 4.

Summary of internal evaluations for each compared methods

Datasets Methods Internal evaluations
CH DB XB
Cell Cycle Accense 3.2409 ± 0.2069 2.4746 ± 0.2563 0.6473 ± 0.0750
PhenoGraph 3.4250 ± 0.0350 2.5692 ± 0.1503 0.7864 ± 0.0392
Xshift 3.5620 ± 0.0443 1.7337 ± 0.1618 0.9131 ± 0.3066
kmeans 3.9414 ± 0.0011 1.5971 ± 0.0013 0.7705 ± 0.0165
flowMeans 3.5992 ± 0.0283 1.6237 ± 0.0341 0.7294 ± 0.0393
FlowSOM 3.6294 ± 0.0036 1.3578 ± 0.0351 0.6669 ± 0.0269
DEPECHE 3.8372 ± 0.0283 1.7767 ± 0.0322 0.7695 ± 0.0177
ACDC 3.4645 ± 0.0901 2.0773 ± 0.3156 0.9395 ± 0.0428
LDA 3.4581 ± 0.0036 2.5080 ± 0.0191 1.0021 ± 0.0358
Colon Accense 3.2688 ± 0.0622 1.7064 ± 0.0656 1.0427 ± 0.0545
PhenoGraph 3.4231 ± 0.0194 1.9030 ± 0.0245 1.3997 ± 0.1199
Xshift 3.0706 ± 0.0179 2.3218 ± 0.0595 1.3207 ± 0.0511
kmeans 3.5109 ± 0.0079 1.9037 ± 0.0501 1.4570 ± 0.1055
flowMeans 3.4793 ± 0.1068 1.5864 ± 0.0421 1.6706 ± 0.1958
FlowSOM 3.6435 ± 0.0117 1.6583 ± 0.0514 1.5910 ± 0.1568
DEPECHE 3.9819 ± 0.0375 1.7725 ± 0.0250 1.6325 ± 0.0930
ACDC 3.5898 ± 0.0440 2.0607 ± 0.1160 1.4239 ± 0.0754
LDA 3.5100 ± 0.0009 2.1773 ± 0.0065 1.5564 ± 0.0724
Levine13dim Accense 3.4230 ± 0.0932 1.8832 ± 0.1408 1.2321 ± 0.0278
PhenoGraph 4.0739 ± 0.0176 1.4645 ± 0.0346 1.3972 ± 0.1349
Xshift 3.5106 ± 0.0289 2.4284 ± 0.0443 1.7868 ± 0.0476
kmeans 3.8508 ± 0.0150 2.1550 ± 0.0546 1.6213 ± 0.1471
flowMeans 4.0475 ± 0.0194 1.5030 ± 0.0849 1.4234 ± 0.1182
FlowSOM 3.8486 ± 0.0071 1.7564 ± 0.0615 1.5043 ± 0.1531
DEPECHE 4.2783 ± 0.0174 1.1677 ± 0.0342 1.3562 ± 0.0392
ACDC 3.9638 ± 0.0110 1.4916 ± 0.0370 1.3109 ± 0.0948
LDA 3.8288 ± 0.0106 2.0046 ± 0.0493 1.3828 ± 0.1167
Levine32dim Accense 3.4621 ± 0.0901 2.3414 ± 0.0925 0.7891 ± 0.0950
PhenoGraph 3.7401 ± 0.0081 1.8293 ± 0.0810 1.0009 ± 0.0479
Xshift 3.6669 ± 0.0102 2.2576 ± 0.1324 0.8295 ± 0.1382
kmeans 3.8761 ± 0.0166 2.0587 ± 0.0386 0.9972 ± 0.0441
flowMeans 3.8546 ± 0.0393 1.6975 ± 0.2199 0.7985 ± 0.0709
FlowSOM 3.8244 ± 0.0285 1.5974 ± 0.0863 0.8366 ± 0.0792
DEPECHE 4.1480 ± 0.0009 1.4727 ± 0.0023 0.7575 ± 0.0351
ACDC 3.6169 ± 0.0046 1.3974 ± 0.0049 0.7693 ± 0.1310
LDA 3.8297 ± 0.0007 1.7011 ± 0.0099 0.7155 ± 0.0139
Muscle Accense 3.2254 ± 0.1688 2.3190 ± 0.3178 0.8420 ± 0.1211
PhenoGraph 3.6052 ± 0.0132 1.8619 ± 0.0417 1.7228 ± 0.2389
Xshift 3.2898 ± 0.0274 2.2460 ± 0.1524 2.1455 ± 0.1599
kmeans 3.9722 ± 0.0022 1.7729 ± 0.0099 1.4987 ± 0.1212
flowMeans 3.3809 ± 0.0565 1.7685 ± 0.0769 1.3750 ± 0.1428
FlowSOM 3.8262 ± 0.0146 1.4439 ± 0.0462 1.3586 ± 0.1473
DEPECHE 4.2639 ± 0.0044 1.2235 ± 0.0080 1.2892 ± 0.0269
ACDC 3.6900 ± 0.0305 1.7186 ± 0.0515 1.5641 ± 0.15555
LDA 3.8073 ± 0.0031 1.6641 ± 0.0206 1.6003 ± 0.0900
Samusik01 Accense 3.2952 ± 0.0476 2.3424 ± 0.1454 0.6500 ± 0.0266
PhenoGraph 3.7380 ± 0.0033 1.4607 ± 0.0424 0.7669 ± 0.0831
Xshift 3.2660 ± 0.0134 2.7855 ± 0.4644 1.2670 ± 0.1654
kmeans 3.7087 ± 0.0135 2.2072 ± 0.0854 0.9365 ± 0.0792
flowMeans 3.4029 ± 0.0381 1.6069 ± 0.2374 0.6309 ± 0.0475
FlowSOM 3.6941 ± 0.0257 1.8967 ± 0.3799 0.8286 ± 0.0832
DEPECHE 4.1028 ± 0.0021 1.4867 ± 0.0054 0.9141 ± 0.0109
ACDC 3.6827 ± 0.0178 1.3871 ± 0.0132 0.7273 ± 0.0573
LDA 3.6767 ± 0.0080 1.6325 ± 0.0242 1.0414 ± 0.0808

Data shown as mean ± standard deviation. CH Calinski-Harabasz index (log10 transformed), DB Davies-Bouldin index, XB Xie-Beni index (log10 transformed)