A New Binary Adaptive Elitist Differential Evolution Based Automatic k-Medoids Clustering for Probability Density Functions

Table 2

Characteristics of data sets surveyed in section of numerical example.

Data set	Object	Number of objects	Exact number of clusters	Nominal partition	Complexity
Benchmark	Univariate normal distribution	7	3		simple
Brodatz	Image; 256 x 256 pixel	40	4		pretty complex
UIUC	Image; 640 x 480; pixel	30	3		complex
CUReT	Material Image; 640 x 480; pixel	30	3		hardly complex
Traffic data	Digital image; 1920 x 1080 pixel	100	2		significantly complex