ROOTCLUS: searching for ``ROOT clusters in three-way proximity data
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Publication:2177737
DOI10.1007/s11336-019-09686-1zbMath1439.62238OpenAlexW2973105152WikidataQ90102965 ScholiaQ90102965MaRDI QIDQ2177737
Publication date: 6 May 2020
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-019-09686-1
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to psychology (62P15)
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- FINDCLUS: fuzzy individual differences clustering
- Block-relaxation approaches for fitting the INDCLUS model
- CLUSCALE (``Clustering and multidimensional SCAL[Eing): a three-way hybrid model incorporating overlapping clustering and multidimensional scaling structure]
- Structural classification analysis of three-way dissimilarity data
- Selecting among multi-mode partitioning models of different complexities: a comparison of four model selection criteria
- A mixture model for the classification of three-way proximity data
- Two-mode multi-partitioning
- Partitions of partitions
- An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models
- A modification of the SINDCLUS algorithm for finding the ADCLUS and INCLUS models
- GINDCLUS: generalized INDCLUS with external information
- Additive clustering and qualitative factor analysis methods for similarity matrices
- One-mode classification of a three-way data matrix
- Mixtures of (constrained) ultrametric trees
- Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
- A simple comprehensive model for the analysis of covariance structures: Some remarks on applications
- The Structural Representation of Proximity Matrices with MATLAB
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