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

Table 6

Comparison of cluster accuracy on the Zoo dataset.

Parameter settings	k-prototypes	EKACMD	WKPCA
k = 2	0.514851	0.574257	—
k = 4	0.693069	0.70297	—
k = 6	0.70297	0.742574	—
k = 7	0.742574	0.811881	0.86732
k = 8	0.60396	0.70297	—
k = 10	0.712871	0.722772	—