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AN IMPROVED MULTI-SOM ALGORITHM

Khanchouch, Boujenfa, Limam

Zenodo (CERN European Organization for Nuclear Research)27 Jul 2013Open access

NobleIDark:/48914/w1/20260525/4D0E1175DOI10.5281/zenodo.4738037

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Abstract

This paper proposes a clustering algorithm based on the Self Organizing Map (SOM) method. To find the optimal number of clusters, our algorithm uses the Davies Bouldin index which has not been used previously in the multi-SOM. The proposed algorithm is compared to three clustering methods based on five databases. Results show that our algorithm is as performing as concurrent methods.

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