Clustering for Probability Density Functions by New -Medoids Method

Table 3

Comparison of all algorithms in example 3 (114 CUReT images).

Algorithm	Average adjusted Rand index	Average computational time (seconds)	Average iteration number
Proposed -medoids	1.00	0.254	1
Random -medoids	0.90	0.105	1
Nonhierarchical approach	0.10	0.368	33
SU	1.00	1.415	7