NDLI: Dynamic fuzzy clustering using Harmony Search with application to image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Alia, O.M. Mandava, R. Ramachandram, D. Aziz, M.E.
Copyright Year	2009
Description	Author affiliation: CVRG - School of Computer Sciences, University Sains Malaysia, 11800 USM, Penang, Malaysia (Alia, O.M.; Mandava, R.; Ramachandram, D.) \|\| Department of Radiology - Health Campus, Universiti Sains Malaysia, 16150 K.K, Kelantan, Malaysia (Aziz, M.E.)
Abstract	In this paper, a new dynamic clustering approach based on the Harmony Search algorithm (HS) called DCHS is proposed. In this algorithm, the capability of standard HS is modified to automatically evolve the appropriate number of clusters as well as the locations of cluster centers. By incorporating the concept of variable length in each harmony memory vector, DCHS is able to encode variable numbers of candidate cluster centers at each iteration. The PBMF cluster validity index is used as an objective function to validate the clustering result obtained from each harmony memory vector. The proposed approach has been applied onto well known natural images and experimental results show that DCHS is able to find the appropriate number of clusters and locations of cluster centers. This approach has also been compared with other metaheuristic dynamic clustering techniques and has shown to be very promising.
Starting Page	538
Ending Page	543
File Size	1394011
Page Count	6
File Format	PDF
ISBN	9781424459490
e-ISBN	9781424459506
DOI	10.1109/ISSPIT.2009.5407590
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Clustering algorithms Partitioning algorithms Machine learning algorithms Pattern recognition Space exploration Application software Radiology Unsupervised learning Machine learning PBMF cluster validity index dynamic fuzzy clustering harmony search image segmentation
Content Type	Text
Resource Type	Article

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