Empirical comparison to predictive clustering between a bio-mimetic methodology and a non connectionist approach
Alain Cucchi () and
Marinette Thebault
Additional contact information
Alain Cucchi: CEMOI - Centre d'Économie et de Management de l'Océan Indien - UR - Université de La Réunion
Post-Print from HAL
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 (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations:
Published in Fuzzy Economic Review, 2000, 5 (2), pp.27--48
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01704008
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().