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Table 2 Performance measures of 100 proteins dataset from ESA, CE and jFATCAT methods at class level with computational time

From: An efficient algorithm for protein structure comparison using elastic shape analysis

Method/levels Time (hours) for N×N comparison Measure Spectral K-means K-means Fuzzy C-means
CE 126.18 Precision 0.9600 0.8622 0.7141
Recall 0.9333 0.7573 0.9792
F-measure 0.9465 0.8064 0.8259
RI 0.9694 0.9538 0.9226
jFACTCAT 019.14 Precision 0.6653 0.4929 0.5058
Recall 0.6043 0.5019 0.6741
F measure 0.6333 0.4974 0.5780
RI 0.8554 0.8430 0.8154
Original ESA 020.40 Precision 0.8396 0.5075 0.4812
Recall 0.7563 0.7744 0.6347
F measure 0.7957 0.6132 0.5474
RI 0.9420 0.8248 0.8032
ESA-MC-BB 002.20 Precision 0.7767 0.5523 0.5710
Recall 0.9275 0.6277 0.5232
F measure 0.8454 0.5876 0.5461
RI 0.9359 0.8440 0.8338
ESA-MC-BB + HP 002.20 Precision 0.9168 0.5058 0.5699
Recall 0.8400 0.7925 0.5307
F measure 0.8767 0.6175 0.5496
RI 0.9557 0.8298 0.8369
ESA-MC-BB + POL 002.20 Precision 0.8974 0.5416 0.5576
Recall 0.8165 0.6000 0.5088
F measure 0.8551 0.5693 0.5321
RI 0.9444 0.8159 0.8322
ESA-CA 002.20 Precision 0.8572 0.5075 0.5322
Recall 0.7621 0.7744 0.4800
F measure 0.8069 0.6132 0.5048
RI 0.9364 0.8961 0.8234
ESA-CA + HP 002.20 Precision 0.8495 0.7588 0.5576
Recall 0.7525 0.6997 0.5088
F measure 0.7981 0.7281 0.5321
RI 0.9411 0.9020 0.8322
ESA-CA + POL 002.20 Precision 0.8572 0.5058 0.5205
Recall 0.7621 0.7925 0.4672
F measure 0.8069 0.6175 0.4924
RI 0.9297 0.8388 0.8194