CLASSI: A classification model for the study of sequential processes and individual differences therein

DOI10.1007/s11336-007-9024-1zbMath1143.62092OpenAlexW1967048190MaRDI QIDQ946678

Eva Ceulemans, Iven van Mechelen

Publication date: 24 September 2008

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-007-9024-1

zbMATH Keywords

classificationsimulated annealingindividual differencesmultiway clusteringsequential process

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to psychology (62P15)

Related Items (5)

A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis ⋮ ADCLUS and INDCLUS: analysis, experimentation, and meta-heuristic algorithm extensions ⋮ The CLASSI-N method for the study of sequential processes ⋮ Principal covariates clusterwise regression (PCCR): accounting for multicollinearity and population heterogeneity in hierarchically organized data ⋮ Exemplar-based clustering via simulated annealing

Uses Software

• pertsaus2

Cites Work

• Unnamed Item
• Optimization strategies for two-mode partitioning
• Selecting among multi-mode partitioning models of different complexities: a comparison of four model selection criteria
• A permutation-translation simulated annealing algorithm for \(L_{1}\) and \(L_{2}\) unidimensional scaling
• Three-mode partitioning
• A simulated annealing heuristic for unidimensional and multidimensional (city-block) scaling of symmetric proximity matrices.
• Adapting the formal to the substantive: constrained Tucker3-HICLAS
• The local minima problem in hierarchical classes analysis: an evaluation of a simulated annealing algorithm and various multistart procedures

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