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Correspondence analysis and 2-way clustering
dc.contributor.author | Ciampi, Antonio |
dc.contributor.author | González Marcos, Ana |
dc.contributor.author | Castejón Limas, Manuel |
dc.date.accessioned | 2007-11-12T19:38:45Z |
dc.date.available | 2007-11-12T19:38:45Z |
dc.date.issued | 2005 |
dc.identifier.citation | Ciampi, Antonio; González Marcos, Ana; Castejón Limas, Manuel. "Correspondence analysis and 2-way clustering". SORT, 2005, Vol. 29, núm. 1 |
dc.identifier.issn | 1696-2281 |
dc.identifier.uri | http://hdl.handle.net/2099/3759 |
dc.description.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. |
dc.format.extent | 27-42 |
dc.language.iso | eng |
dc.publisher | Institut d'Estadística de Catalunya |
dc.relation.ispartof | SORT. 2005, Vol. 29, Núm. 1 [January-June] |
dc.rights | Attribution-NonCommercial-NoDerivs 2.5 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/es/ |
dc.subject.other | Multivariate analysis |
dc.title | Correspondence analysis and 2-way clustering |
dc.type | Article |
dc.subject.lemac | Anàlisi multivariable |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::62 Statistics::62H Multivariate analysis |
dc.rights.access | Open Access |
local.personalitzacitacio | true |