Evolution Strategy for the C-Means Algorithm: Application to multimodal image segmentation

Abstract

Evolutions Strategies (ES) are a class of Evolutionary Computation methods for continuous parameter optimization problems founded on the model of organic evolution. In this paper we present a novel clustering algorithm based on the application of an ES to the search for the global minimum of the C-Means (CM) objective functional. The new algorithm is then… (More)

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Cite this paper

@inproceedings{Masulli2013EvolutionSF, title={Evolution Strategy for the C-Means Algorithm: Application to multimodal image segmentation}, author={Francesco Masulli and Anna Maria Massone and Andrea Schenone}, year={2013} }