抽象的

SOME VARIANTS OF K-MEANS CLUSTERING WITH EMPHASIS ON IMAGE SEGMENTATION

Sheetal Aggarwal, Ashok

In this paper we focus on some variants of K means clustering approach which can be used for image segmentation also. In k-means clustering, we are given a set of n data points in d-dimensional space and an integer k and the problem is to determine a set of k points in , called centers, so as to minimize the mean squared distance from each data point to its nearest center. A popular heuristic for k-means clustering is Lloyd's algorithm. In this paper we have analyzed and presented some extensions that increase its range of applicability.