MAPCLUS: A mathematical programming approach to fitting the ADCLUS model

From MaRDI portal
Publication:1141436

DOI10.1007/BF02294077zbMath0437.62059MaRDI QIDQ1141436

Phipps Arabie, J. Douglas Carroll

Publication date: 1980

Published in: Psychometrika (Search for Journal in Brave)




Related Items

An algorithm to obtain additive trees based upon the preservation of the clusters structure, A nonhierarchical brand switching model for inferring market structure, On the graphical containment of discrete metric spaces, Extended similarity trees, An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models, Pyramidal classification based on incomplete dissimilarity data, Hierarchical classes: model and data analysis, Sequential social network data, Pairwise partitioning: A nonmetric algorithm for identifying feature-based similarity structures, A graph-theoretic method for organizing overlapping clusters into trees, multiple trees, or extended trees, Methods for the analysis of asymmetric pairwise relationships, In memoriam, J. Douglas Carroll 1939--2011, One mode three-way overlapping cluster analysis, Matrix reorganization and dynamic programming: applications to paired comparisons and unidimensional seriation, Issues and advances in product positioning models in marketing research, Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach, Conditional clusters, musters, and probability, Improved biclustering of microarray data demonstrated through systematic performance tests, Identifying Multiple Cluster Structures in a Data Matrix, Copula analysis of mixture models, Additive clustering and qualitative factor analysis methods for similarity matrices, The representation of three-way proximity data by single and multiple tree structure models, On the complexity of additive clustering models, A stratificational overlapping cluster scheme, A Polynomial Algorithm for a Class of 0–1 Fractional Programming Problems Involving Composite Functions, with an Application to Additive Clustering, FINDCLUS: fuzzy individual differences clustering, In memoriam: J. Douglas Carroll, 1939--2011, Block-relaxation approaches for fitting the INDCLUS model


Uses Software