Two-Way Classification of a Data Table with Non Negative Entries: The Role of the χ2 Distance and Correspondence Analysis - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Communications in Statistics - Simulation and Computation Year : 2012

Two-Way Classification of a Data Table with Non Negative Entries: The Role of the χ2 Distance and Correspondence Analysis

Abstract

We developed an approach to two-way classification based on the χ2 distance and Correspondence Analysis. We present, in particular, two classification algorithms: the first one operates a dimension reduction before applying clustering techniques to rows and columns. The second one, successively partitions the data matrix to extract several classification schemes rather than one. Applications to gene expression and web data are presented. The results are compared with an optimal partition algorithm.
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hal-00782454 , version 1 (29-01-2013)

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Antonio Ciampi, Alina Dyachenko, Ana Gonzalez-Marcos, Yves Lechevallier. Two-Way Classification of a Data Table with Non Negative Entries: The Role of the χ2 Distance and Correspondence Analysis. Communications in Statistics - Simulation and Computation, 2012, 41 (7), pp.1006-1022. ⟨10.1080/03610918.2012.625772⟩. ⟨hal-00782454⟩

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