Feature Selection and Overlapping Clustering-Based Multilabel Classification Model

Table 3

Micro -measure for all models on emotions dataset. is the number of attributes, and is the amount of clusters. is the average value of micro -measure.

Classification model			Emotions
-means + ML-KNN	2	72	0.6538
EM + ML-KNN	2	72	0.6585
DEP_max + -means + ML-KNN	2	%	0.6572
MDI + -means + ML-KNN	2	s%	0.6590
-means + ML-KNN	3	72	0.6562
EM + ML-KNN	3	72	0.6614
DEP_max + -means + ML-KNN	3	%	0.6532
MDI + -means + ML-KNN	3	%	0.6650
-means + ML-KNN	4	72	0.6375
EM + ML-KNN	4	72	0.6523
DEP_max + -means + ML-KNN	4	%	0.6350
MDI + -means + ML-KNN	4	%	0.6635
-means + ML-KNN	5	72	0.6427
EM + ML-KNN	5	72	0.6571
DEP_max + -means + ML-KNN	5	%	0.6430
MDI + -means + ML-KNN	5	%	0.6590
-means + ML-KNN	6	72	0.6411
EM + ML-KNN	6	72	0.6596
DEP_max + -means + ML-KNN	6	%	0.6423
MDI + -means + ML-KNN	6	%	0.6621
-means + ML-KNN	7	72	0.6380
EM + ML-KNN	7	72	0.6549
DEP_max + -means + ML-KNN	7	%	0.6382
MDI + -means + ML-KNN	7	%	0.6576