Feature Selection and Overlapping Clustering-Based Multilabel Classification Model

Table 6

Hamming loss measure for all models on yeast dataset. is the number of attributes, and is the amount of clusters.

Classification model			Yeast
-means + ML-KNN	2	103
EM + ML-KNN	2	103
MDI + FCM + ML-KNN	2	20%
		30%
		40%
-means + ML-KNN	3	103
EM + ML-KNN	3	103
MDI + FCM + ML-KNN	3	20%
		30%
		40%
-means + ML-KNN	4	103
EM + ML-KNN	4	103
MDI + FCM + ML-KNN	4	20%
		30%
		40%
-means + ML-KNN	5	103
EM + ML-KNN	5	103
MDI + FCM + ML-KNN	5	20%
		30%
		40%
-means + ML-KNN	6	103
EM + ML-KNN	6	103
MDI + FCM + ML-KNN	6	20%
		30%
		40%
-means + ML-KNN	7	103
EM + ML-KNN	7	103
MDI + FCM + ML-KNN	7	20%
		30%
		40%