A user-oriented overview of multiway methods and software

DOI10.1016/0167-9473(94)90131-7zbMath0825.62007OpenAlexW1989448628WikidataQ127487955 ScholiaQ127487955MaRDI QIDQ1896204

G. Bove, Agostino Di Ciaccio

Publication date: 17 August 1995

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(94)90131-7

Mathematics Subject Classification ID

Uses Software

• PARAFAC
• MAPCLUS
• Indclus
• ALSCAL

Cites Work

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• Ideal point discriminant analysis
• Relations among \(m\) sets of measures
• Three-way metric unfolding via alternating weighted least squares
• Extended similarity trees
• Principal component analysis of three-mode data by means of alternating least squares algorithms
• Component models for three-way data: An alternating least squares algorithm with optimal scaling features
• CANDELINC: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters
• Quantitative analysis of qualitative data
• Spatial versus tree representations of proximity data
• Multivariate adaptive regression splines
• Hierarchical relations among three-way methods
• Generalized Procrustes analysis
• More factors than subjects, tests and treatments: An indeterminacy theorem for canonical decomposition and individual differences scaling
• Redundancy analysis: an alternative for canonical correlation analysis
• Maximum likelihood estimation in multidimensional scaling
• Orthogonal Procrustes rotation for two or more matrices
• Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
• The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features
• Constrained multidimensional scaling in n spaces
• A direct approach to individual differences scaling using increasingly complex transformations
• An approach to n-mode components analysis
• Correspondence analysis used complementary to loglinear analysis
• Multiple factor analysis (AFMULT package)
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• On metric multidimensional unfolding
• Simultaneous factor analysis in several populations
• Relations between multidimensional scaling and three-mode factor analysis
• Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis
• Component analysis in cross-sectional and longitudinal data
• Homogeneity analysis with k sets of variables: An alternating least squares method with optimal scaling features
• Latent Structure Analysis of a Set of Multidimensional Contingency Tables
• Annotated bibliography of three-mode factor analysis
• Estimating Optimal Transformations for Multiple Regression and Correlation
• Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables
• Some Statistical Approaches to Multidimensional Scaling Data
• A simple comprehensive model for the analysis of covariance structures
• Exploratory latent structure analysis using both identifiable and unidentifiable models
• Canonical analysis of several sets of variables
• RELATIONS BETWEEN TWO SETS OF VARIATES

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