Sparsity-Aware Possibilistic Clustering Algorithms

In this paper, two novel possibilistic clustering algorithms are presented, which utilize the concept of sparsity. The first one, called sparse possibilistic c-means, exploits sparsity and can deal well with closely located clusters that may also be of significantly different densities. The second o...

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Bibliographic Details

Published in:	IEEE transactions on fuzzy systems Vol. 24; no. 6; pp. 1611 - 1626
Main Authors:	Xenaki, Spyridoula D., Koutroumbas, Konstantinos D., Rontogiannis, Athanasios A.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptivity Algorithms Clustering Clustering algorithms Convergence Cost function Estimation Europe Noise measurement Phase change materials possibilistic clustering Sparsity
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
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