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

Figure 2

Schematic diagram of k-prototypes algorithm sensitive to initial Cluster Center selection. Clustering results of (a), (b), and (c).

(a)

(b)

(c)