ECM: An evidential version of the fuzzy c-means algorithm

A new clustering method for object data, called ECM (evidential c-means) is introduced, in the theoretical framework of belief functions. It is based on the concept of credal partition, extending those of hard, fuzzy, and possibilistic ones. To derive such a structure, a suitable objective function...

Full description

Saved in:

Bibliographic Details
Published in:	Pattern recognition Vol. 41; no. 4; pp. 1384 - 1397
Main Authors:	Masson, Marie-Hélène, Denœux, T.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.04.2008 Elsevier Science
Subjects:	Applied sciences Belief functions Cluster validity Clustering Dempster–Shafer theory Evidence theory Exact sciences and technology Information, signal and communications theory Robustness Signal and communications theory Signal representation. Spectral analysis Signal, noise Telecommunications and information theory Unsupervised learning Belief functions Cluster validity Evidence theory Dempster–Shafer theory Robustness Clustering Unsupervised learning Automatic classification Belief function Dempster-Shafer theory Signal classification Credal approach Fuzzy algorithm Dempster Shafer theory Objective function
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!