Two-Way Classification of a Data Table with Non Negative Entries: The Role of the [chi]2 Distance and Correspondence Analysis

Two-Way Classification of a Data Table with Non Negative Entries: The Role of the [chi]2 Distance and Correspondence Analysis

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 part...

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Bibliographic Details
Published in:Communications in statistics. Simulation and computation Vol. 41; no. 7; p. 1006
Main Authors: Ciampi, Antonio, Dyachenko, Alina, Gonzalez-Marcos, Ana, Lechevallier, Yves
Format: Journal Article
Language:English
Published: Philadelphia Taylor & Francis Ltd 01-08-2012
Subjects:
Algorithms
Graphs
Online Access:Get full text
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Summary: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. [PUBLICATION ABSTRACT]
ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2012.625772