Principal classifications analysis: a method for generating consensus dendrograms and its application to three-way data.

DOI10.1016/S0167-9473(98)00006-1zbMath1042.62568WikidataQ127846838 ScholiaQ127846838MaRDI QIDQ1129103

Maurizio Vichi

Publication date: 13 August 1998

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

zbMATH Keywords

Consensus classificationHierarchical cluster analysisThree-way data set

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Consensus and fuzzy partition of dendrograms from a three-way dissimilarity array

Uses Software

• MAPCLUS
• Indclus

Cites Work

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• Representation, synthesis, variability and data preprocessing of a three-way data set
• The representation of three-way proximity data by single and multiple tree structure models
• NP-hard problems in hierarchical-tree clustering
• Consensus n-trees
• The median procedure in cluster analysis and social choice theory
• A comparative performance evaluation of 27 nonlinear programming codes
• A sparse nonlinear optimization algorithm
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• Annotated bibliography of three-mode factor analysis
• A Review of Hierarchical Classification

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