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Communication Dans Un Congrès Année : 2005

Self-organizing Map Initialization

Résumé

The solution obtained by Self-Organizing Map (SOM) strongly depends on the initial cluster centers. However, all existing SOM initialization methods do not guarantee to obtain a better minimal solution. Generally, we can group these methods in two classes: random initialization and data analysis based initialization classes. This work proposes an improvement of linear projection initialization method. This method belongs to the second initialization class. Instead of using regular rectangular grid our method combines a linear projection technique with irregular rectangular grid. By this way the distribution of results produced by the linear projection technique is considred. The experiments confirm that the proposed method gives better solutions compared to its original version.

Dates et versions

inria-00000622 , version 1 (10-11-2005)

Identifiants

Citer

Mohammed Attik, Laurent Bougrain, Frédéric Alexandre. Self-organizing Map Initialization. 15th International conference on Artificial Neural Networks - ICANN 2005, Sep 2005, Warsaw/Poland, pp.357--362, ⟨10.1007/11550822_56⟩. ⟨inria-00000622⟩
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