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Identifying Groups: A Comparison of Methodologies
Volume 9, Issue 2 (2011), pp. 271–291
Abdolreza Eshghi   Dominique Haughton   Pascal Legrand  

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https://doi.org/10.6339/JDS.201104_09(2).0009
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: This paper describes and compares three clustering techniques: traditional clustering methods, Kohonen maps and latent class models. The paper also proposes some novel measures of the quality of a clustering. To the best of our knowledge, this is the first contribution in the literature to compare these three techniques in a context where the classes are not known in advance.

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Keywords
Cluster analysis Kohonen maps latent class analysis

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