Clustering for Probability Density Functions by New -Medoids Method

Table 2

Comparison of algorithms in example 2 (9 bivariate student pdfs).

Algorithm	Average adjusted Rand index	Average computational time (seconds)	Average iteration number
Proposed -medoids	1.00	0.026	1
Random -medoids	0.78	0.016	1
Nonhierarchical approach	0.32	0.02	2
SU	1.00	5.578	9