Correspondence analysis and 2-way clustering
PublisherInstitut d'Estadística de Catalunya
Rights accessOpen Access
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.
CitationCiampi, Antonio; González Marcos, Ana; Castejón Limas, Manuel. "Correspondence analysis and 2-way clustering". SORT, 2005, Vol. 29, núm. 1