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ON THE CONNECTION BETWEEN THE DISTRIBUTION OF EIGENVALUES IN MULTIPLE CORRESPONDENCE ANALYSIS AND LOG-LINEAR MODELS
Multiple Correspondence Analysis eigenvalues log-linear models graphical models normal distribution
2009/2/26
Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having di®erent approaches and ¯elds of applications. Log-linear mod...
Correspondence analysis and two-way clustering
block clustering selecting number of axes data visualization
2009/2/23
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 ...
Canonical non-symmetrical correspondence analysis：an alternative in constrained ordination
Biplot canonical correspondence analysis non-symmetrical correspondence analysis species-environment relationship
2009/2/23
Canonical non-symmetrical correspondence analysis is developed as an alternative method for
constrained ordination, relating external information (e.g., environmental variables) with ecological data,...