NDLI: Unsupervised data clustering and image segmentation using natural computing techniques

Content Provider	IEEE Xplore Digital Library
Author	de Souza, J.G. Costa, J.A.F.
Copyright Year	2009
Description	Author affiliation: Adaptive Systems Laboratory, Department of Electrical Engineering, Center for Technology, Federal University of Rio Grande do Norte, Natal - RN, Brazil (de Souza, J.G.; Costa, J.A.F.)
Abstract	Natural computing (NC) is a novel approach to solve real life problems inspired in the life itself. A diversity of algorithms had been proposed such as Evolutionary Techniques, Genetic Algorithms and Particle Swarm Optimization (PSO). These approaches, together with fuzzy and neural networks, give powerful tools for researchers in a diversity of problems of optimization, classification, data analysis and clustering. This paper presents concepts and experimental results of approaches to data clustering and image segmentation using NC approaches. The main focus are on Evolutionary Computing, which is based on the concepts of the evolutionary biology and individual-to-population adaptation, and Swarm Intelligence, which is inspired in the behavior of individuals, together, try to achieve better results for a complex optimization problem. Genetic and PSO based K-means and fuzzy K-means algorithms are described. Results are shown for data clustering using UCI datasets such as Ruspini, Iris and Wine and for image texture and intensity segmentation using images from BrainWeb system.
Starting Page	5045
Ending Page	5050
File Size	515141
Page Count	6
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Clustering algorithms Particle swarm optimization Biology computing Genetic algorithms Fuzzy neural networks Data analysis Evolution (biology) Iris Image texture natural computing unsupervised data clustering image segmentation evolutionary techniques genetic algorithms particle swarm optimization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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