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Review on Fuzzy Clustering Algorithms

Ali, Ameer M.; Karmakar, Gour C. and Dooley, Laurence S. (2008). Review on Fuzzy Clustering Algorithms. Journal of Advanced Computations, 2(3) pp. 169–181.

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Abstract

Image segmentation especially fuzzy-based segmentation techniques are widely used due to effective segmentation performance. For this reason, a number of algorithms are proposed in the literature. This paper presents a survey report of different types of classical fuzzy clustering techniques which are available in the literature.

Item Type: Journal Article
Copyright Holders: 2008 IETECH Publications
ISSN: 0973-807X
Keywords: fuzzy clustering; image segmentation; fuzzy c-means; PCM
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 25082
Depositing User: Laurence Dooley
Date Deposited: 07 Dec 2010 12:03
Last Modified: 02 Aug 2016 18:50
URI: http://oro.open.ac.uk/id/eprint/25082
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