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CLV: Stata module to implement a clustering of variables around latent components

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Author Info
Jean-Benoit Hardouin () (University of Nantes, France)

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Abstract

clv clusters variables around latent components. The variables are clustered by searching to minimize at each step the decreasing of the T criterion computed as the sum of the first eigenvalues of the matrices of data of all the clusters. A hierarchical cluster analysis based on this criterion is realized. A consolidation procedure can be run in a second time, which allows assigning each variable to the more correlated latent components. The procedure is described by Vigneau and Qannari (Communications in Statistics - Simulation and Computation, 2003).

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File URL: http://fmwww.bc.edu/repec/bocode/c/clv.ado
File Format: text/plain
File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/c/clv.hlp
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File Function: help file
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S453101.

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Programming language: Stata
Requires: Stata version 8.0
Date of creation: 12 Jun 2005
Date of revision: 14 Oct 2006
Handle: RePEc:boc:bocode:s453101

Note: This module may be installed from within Stata by typing "ssc install clv". Windows users should not attempt to download these files with a web browser.
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Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
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Related research
Keywords: Clustering around latent components; Varclus; CLV; unidimensionality;

Statistics
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This page was last updated on 2009-12-21.

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