Ant based clustering using case based reasoning

Authors:
Zahra Sadeghi;Mohammad Teshnehlab
Affiliations:
Computer Engineering Department, Islamic Azad University, Poonak, Tehran, Iran;Faculty member, Electronic Engineering Department, K.N.Toosi University, Tehran, Iran
Venue:
ECC'08 Proceedings of the 2nd conference on European computing conference
Year:
2008

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Abstract

In this paper a new ant clustering algorithm based on case based reasoning (CBR) is presented. Every ant has a case base which is updated iteratively by the process of CBR. Each ant can use its case base to find best places for dropping its load. Also ants can take advantage of the knowledge of other ants' case bases by the process of cooperation. Our simulation results demonstrated better performance in terms of accuracy and compactness of generated clusters than previous approaches of ant based clustering.