Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient

Table 7

Comparison of cluster accuracy on the Heart dataset.

Parameter settings	k-prototypes	EKACMD	WKPCA
k = 2	0.426558	0.557158	0.584158
k = 4	0.520010	0.630300	—
k = 6	0.576567	0.660066	—
k = 8	0.569966	0.676468	—
k = 10	0.589570	0.692970	—