[Retracted] An Accurate Method of Determining Attribute Weights in Distance-Based Classification Algorithms

Table 17

Confusion matrix of the three methods for clustering the wine data set.

	Confusion matrix		Category y_pred after K-means clustering with the exact solution method
			Category 1	Category 2	Category 3
Accurate method	Real category y	Category 1	59	0	0
		Category 2	5	64	2
		Category 3	0	0	48
Without weight		Category 1	58	0	1
		Category 2	2	60	9
		Category 3	1	0	47
Entropy weights		Category 1	58	1	0
		Category 2	2	60	9
		Category 3	0	1	47