A fuzzy variant of an Evolutionary Algorithm for Clustering

Alves, Vinícius S., Campello, Ricardo J.G.B., and Hruschka, Eduardo R. (2007) A fuzzy variant of an Evolutionary Algorithm for Clustering. In: Proceedings of the 2007 IEEE International Fuzzy Systems Conference. pp. 375-380. From: 2007 IEEE International Fuzzy Systems Conference, 23-26 July 2007, London, UK.

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Abstract

A fuzzy version of an Evolutionary Algorithm for Clustering (EAC) proposed in, previous work is introduced. This algorithm uses a fuzzy cluster validity criterion and a fuzzy local search algorithm instead of their hard counterparts employed by EAC. It is shown by means of theoretical complexity analyses that this algorithm can be more efficient than systematic (i.e. repetitive) approaches when the number of clusters is unknown. An illustrative example with computational experiments and statistical analyses is also presented.

Item ID: 47055
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4244-1210-5
Funders: CAPES, CNPq, FAPESP
Date Deposited: 04 Jan 2017 08:04
FoR Codes: 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
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