Clustering is a vital knowledge mining technique to extract useful info from various high dimensional datasets. A big selection of clustering algorithms is out there in literature and still an open area for researcher. K-means that algorithm is one among the fundamental and most straightforward partitioning clustering technique.is given by MacQueen in 1967 and aim of this clustering algorithm is to divide the dataset into disjoint clusters. After that many variations of k-suggests that algorithm are given by different authors. Here during this paper we create analysis of 2 variant of k-means particularly international k-means that and x-suggests that over colon dataset.

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