Table 2.

Classification results. HMDSOF: harmonic mean difference, LDA: linear discriminant analysis, MPE: multiscale permutation entropy, PCA: principal component analysis, SOF: self-organizing fuzzy.

Serial Number	Methods	Classification Accuracy (%)				Time/s
		Maximum	Minimum	Average	Std
1	MPE-SOF	98.3333	94.3333	96.7333	0.0139	0.4243
2	MPE-HMDSOF $\left(g=2\right)$	98.6667	94.3333	97.2333	0.0139	1.3394
3	MPE-HMDSOF $\left(g=3\right)$	98.6667	94.6667	97.4667	0.0134	1.4819
4	MPE-HMDSOF $\left(g=4\right)$	98.6667	94.6667	97.4667	0.0134	1.6589
5	MPE-PCA-SOF	98.6667	95	97.4	0.0128	0.5149
6	MPE-PCA-HMDSOF $\left(g=2\right)$	98.6667	95	97.8333	0.0114	1.3203
7	MPE-PCA-HMDSOF $\left(g=3\right)$	99	97	98	0.0074	1.5528
8	MPE-PCA-HMDSOF $\left(g=4\right)$	99	97	98	0.0074	1.7343
9	MPE-LDA-SOF	99.3333	96.6667	98.6333	0.0074	0.4532
10	MPE-LDA-HMDSOF $\left(g=2\right)$	99.3333	97.3333	98.8333	0.0059	1.2799
11	MPE-LDA-HMDSOF $\left(g=3\right)$	100	98.3333	99	0.0052	1.4425
12	MPE-LDA-HMDSOF $\left(g=4\right)$	100	98.3333	99	0.0052	1.5943