Correspondence analysis and two-way clustering.

Antonio Ciampi; Ana González Marcos; Manuel Castejón Limas

SORT (2005)

  • Volume: 29, Issue: 1, page 27-42
  • ISSN: 1696-2281

Abstract

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Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i) proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii) enhancing this representation by emphasizing those variables and those individuals which are 'well represented' in the subspace of the chosen axes. The approach is applied to a 'traditional' clustering problem: the classification of a group of psychiatric patients.

How to cite

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Ciampi, Antonio, González Marcos, Ana, and Castejón Limas, Manuel. "Correspondence analysis and two-way clustering.." SORT 29.1 (2005): 27-42. <http://eudml.org/doc/40465>.

@article{Ciampi2005,
abstract = {Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i) proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii) enhancing this representation by emphasizing those variables and those individuals which are 'well represented' in the subspace of the chosen axes. The approach is applied to a 'traditional' clustering problem: the classification of a group of psychiatric patients.},
author = {Ciampi, Antonio, González Marcos, Ana, Castejón Limas, Manuel},
journal = {SORT},
keywords = {Análisis multivariante; Análisis cluster; Agregación; Análisis de correspondencias; block clustering; selecting number of axes; data visualization},
language = {eng},
number = {1},
pages = {27-42},
title = {Correspondence analysis and two-way clustering.},
url = {http://eudml.org/doc/40465},
volume = {29},
year = {2005},
}

TY - JOUR
AU - Ciampi, Antonio
AU - González Marcos, Ana
AU - Castejón Limas, Manuel
TI - Correspondence analysis and two-way clustering.
JO - SORT
PY - 2005
VL - 29
IS - 1
SP - 27
EP - 42
AB - Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i) proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii) enhancing this representation by emphasizing those variables and those individuals which are 'well represented' in the subspace of the chosen axes. The approach is applied to a 'traditional' clustering problem: the classification of a group of psychiatric patients.
LA - eng
KW - Análisis multivariante; Análisis cluster; Agregación; Análisis de correspondencias; block clustering; selecting number of axes; data visualization
UR - http://eudml.org/doc/40465
ER -

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