Correspondence analysis

Known as: CA, Correspondence 
Correspondence analysis (CA) is a multivariate statistical technique proposed by Hirschfeld and later developed by Jean-Paul Benzécri. It is… (More)
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Papers overview

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2013
2013
We consider correspondence analysis (CA) and taxicab correspondence analysis (TCA) of relational datasets that can mathematically… (More)
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Highly Cited
2009
Highly Cited
2009
Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by… (More)
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2009
2009
Power transformations of positive data tables, prior to applying the correspondence analysis algorithm, are shown to open up a… (More)
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2009
2009
Nonsymmetric correspondence analysis (NSCA) is designed to analyze two-way contingency tables in which rows and columns assume an… (More)
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2008
2008
We compare the statistical analysis of indicator matrices and Burt tables by correspondence analysis (CA) and taxicab… (More)
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Highly Cited
2007
Highly Cited
2007
We describe an implementation of simple, multiple and joint correspondence analysis in R. The resulting package comprises two… (More)
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2006
2006
As the name indicates, discriminant correspondence analysis (DCA) is an extension of discriminant analysis (DA) and… (More)
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Highly Cited
2003
Highly Cited
2003
We outline a distributed coding technique for images captured from sensors with overlapping fields of view in a sensor network… (More)
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Highly Cited
1999
Highly Cited
1999
Several effective methods have been developed recently for improving predictive performance by generating and combining multiple… (More)
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1997
1997
Several effective methods for improving the performance of a single learning algorithm have been developed recently. The general… (More)
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