Novel Two-Dimensional Visualization Approaches for Multivariate Centroids of Clustering Algorithms

Algorithm 3

The weighted K-means++ clustering.

	Input: Set of the weight values for all features (W)
	Output: Set of the final centroids, C
	Begin
	For i = 1 : n
	For j = 1 : f
	Call Algorithm 1 for I to cluster with K-means++
	Return C returned by Algorithm 1
	End