Analysis of X-means and global k-means USING TUMOR classification

Clustering is an important data mining technique to extract useful information from various high dimensional datasets. A wide range of clustering algorithms is available in literature and still an open area for researcher. K-means algorithm is one of the basic and most simple 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-means algorithm are given by different authors. Here in this paper we make analysis of two variant of k-means namely global k-means and x-means over colon dataset.