Empirical comparison to predictive clustering between a bio-mimetic methodology and a non connectionist approach

Alain Cucchi; Marinette Thebault

Journal articles

Empirical comparison to predictive clustering between a bio-mimetic methodology and a non connectionist approach

Alain Cucchi ¹ Marinette Thebault

1 CEMOI - Centre d'Économie et de Management de l'Océan Indien

Abstract : An empirical comparison is carried out on two real data sets between a bio-mimetic clusterwise algorithm, the Kohonen's Learning Vector Quantization, and a non-connectionist approach- to clusterwise regression, the fuzzy clustering approach Glimmix based on regression mixture model.

Keywords : Economie

Document type :

Journal articles

Domain :

Humanities and Social Sciences / Economics and Finance

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https://hal.univ-reunion.fr/hal-01704008
Contributor : Réunion Univ <>
Submitted on : Thursday, February 8, 2018 - 10:54:51 AM
Last modification on : Thursday, March 28, 2019 - 11:24:12 AM

Empirical comparison to predictive clustering between a bio-mimetic methodology and a non connectionist approach

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Empirical comparison to predictive clustering between a bio-mimetic methodology and a non connectionist approach

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