Academic Journals Database
Disseminating quality controlled scientific knowledge

A Review of Image Data Clustering Techniques

Author(s): Ashwini Gulhane | Prashant L. Paikrao | D. S. Chaudhari

Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307

Volume: 2;
Issue: 1;
Start page: 212;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: M-step clustering | k-means clustering.

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.
Affiliate Program     

Tango Jona
Tangokurs Rapperswil-Jona