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Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials
The core of the paper consists of the treatment of two special decompositions for correspondence analysis of two-way ordered contingency tables: the...
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Performing DISCO-SCA to search for distinctive and common information in linked data
Behavioral researchers often obtain information about the same set of entities from different sources. A main challenge in the analysis of such data...
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Regularized Multiple-Set Canonical Correlation Analysis
Multiple-set canonical correlation analysis (Generalized CANO or GCANO for short) is an important technique because it subsumes a number of...
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Regularized Partial and/or Constrained Redundancy Analysis
Methods of incorporating a ridge type of regularization into partial redundancy analysis (PRA), constrained redundancy analysis (CRA), and partial...
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Relationships among Various Kinds of Eigenvalue and Singular Value Decompositions
Eigenvalue decomposition (EVD) and/or singular value decomposition (SVD) play important roles in many multivariate data analysis techniques as...
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Generalized constrained multiple correspondence analysis
A comprehensive approach for imposing both row and column constraints on multivariate discrete data is proposed that may be called generalized...
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Decompositions and biplots in three-way correspondence analysis
In this paper correspondence analysis for three-way contingency tables is presented using three-way generalisations of the singular value...
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Relationships among several methods of linearly constrained correspondence analysis
This paper shows essential equivalences among several methods of linearly constrained correspondence analysis. They include Fisher's method of...
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Principal component analysis with external information on both subjects and variables
A method for structural analysis of multivariate data is proposed that combines features of regression analysis and principal component analysis. In...