A Review of Image Data Clustering Techniques

Abstract

In order to the find the close association between the density of data points, in the given data set of pixels of an image, clustering provides an easy analysis and proper validation. In this paper various clustering techniques along with some clustering algorithms are described. Further k-means algorithm, its limitations and a new approach of clustering called as M-step clustering that may overcomes these limitations of k-means is included.