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A New Hierarchical Clustering Method using Topological Map

Abstract : We present a new hierarchical clustering criteria which can be applied to data set. This is done after generating an initial partition byusing a Topological Self Organizing Map. This criteria contains two terms which take into account two di erent errors simultaneously: the square error of the entire clustering (as the Ward criteria) and the topological structure given by the Self Organizing Map. A parameter T allows to control the corresponding in uence of these two terms. Results on simulated data are presented which show the e ect of this criteria for different values of T.
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Submitted on : Friday, March 6, 2015 - 10:42:17 AM
Last modification on : Tuesday, March 17, 2020 - 3:10:53 AM


  • HAL Id : hal-01124639, version 1



Meziane Yacoub, Ndeye Niang Keita, Fouad Badran, Sylvie Thiria. A New Hierarchical Clustering Method using Topological Map. ASMDA2001 : 10th Int. Symp. on APPLIED STOCHASTIC MODELS AND DATA ANALYSIS, Jan 2001, X, France. pp.1023-1028. ⟨hal-01124639⟩



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