Convalescing Cluster Configuration Using a Superlative Framework

Algorithm 3

-means clustering.

Phase III: K-means clustering

Input:

Data objects    of the Dataset  

Initial centroids for the clusters   (from Phase II)

Number of clusters

Output:

Cluster configuration

(1) ( to )

(2)  Compute Dist   ( to )

(3)  Allocate to with minimum Dist

(4)  Re-compute the centroid of