Genetic fuzzy clustering

17 December 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 411-415
https://doi.org/10.1109/ijcf.1994.375077

Abstract

This paper describes a genetic guided fuzzy clustering algorithm. The fuzzy-c-means functional J/sub m/ is used as the fitness function. In two domains the approach is shown to avoid some higher values of J/sub m/ to which the fuzzy-c-means algorithm will converge under some initializations. Hence, the genetic guided approach shows promise as a clustering tool.<>

Keywords

CLUSTERING ALGORITHMS
COMPUTER SCIENCE
GENETIC ALGORITHMS
ITERATIVE ALGORITHMS
PROTOTYPES
GENETIC ENGINEERING
IMAGE CONVERTERS
IMAGE SEGMENTATION
OPTIMIZATION METHODS
MINIMIZATION METHODS

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