Genetic algorithm-based clustering technique

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Genetic algorithm-based clustering technique
A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search for appropriate cluster centres in the feature space such that a similarity metric of the resulting clusters is optimized. The chromosomes, which are represented as strings of real numbers, encode the centres of a "xed number of clusters. The superiority of the GA-clustering algorithm over the commonly used K-means algorithm is extensively demonstrated for four arti"cial and three real-life data sets. 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Ujjwal Maulik, Sanghamitra Bandyopadhyay
Added 19 Dec 2010
Updated 19 Dec 2010
Type Journal
Year 2000
Where PR
Authors Ujjwal Maulik, Sanghamitra Bandyopadhyay
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