Research Article
Weighted k-Prototypes Clustering Algorithm Based on the Hybrid Dissimilarity Coefficient
Table 9
Comparison of cluster accuracy on the ACA dataset.
| Parameter settings | k-prototypes | EKACMD | WKPCA |
| k = 2 | 0.532330 | 0.552706 | 0.582608 | k = 4 | 0.682198 | 0.692898 | — | k = 6 | 0.669710 | 0.678260 | — | k = 8 | 0.700000 | 0.708695 | — | k = 10 | 0.697101 | 0.700000 | — |
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