A New Clustering Algorithm Based on Chameleon Army Strategy

Nadjet Kamel,Rafik Boucheta

doi:10.1007/978-3-319-06538-0_3

A New Clustering Algorithm Based on Chameleon Army Strategy

Nadjet Kamel, Rafik Boucheta

https://doi.org/10.1007/978-3-319-06538-0_3

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Publication Date: Jan 1, 2014

Citations: 2

Affiliation: University of Algiers Benyoucef Benkhedda, University of Sciences and Technology Houari Boumediene, University Ferhat Abbas of Setif

#Chameleon Behavior #Clustering Algorithm

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Abstract

In this paper we present a new clustering algorithm based on a new heuristic we call Chameleon Army. This heuristic simulates a Army stratagem and Chameleon behavior. The proposed algorithm is implemented and tested on well known dataset. The obtained results are compared to those of the algorithms K-means, PSO, and PSO-kmeans. The results show that the proposed algorithm gives better clusters.

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