The CLASSI-N method for the study of sequential processes

DOI10.1007/s11336-011-9235-3zbMath1284.62756OpenAlexW2081589337WikidataQ60640263 ScholiaQ60640263MaRDI QIDQ659074

Peter Kuppens, Iven van Mechelen, Eva Vande Gaer, Eva Ceulemans

Publication date: 9 February 2012

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-011-9235-3

zbMATH Keywords

clusteringbinary dataindividual differencesclusterwise regressionCLASSIsequential processes

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (1)

A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis

Cites Work

• Optimization by Simulated Annealing
• CLASSI: A classification model for the study of sequential processes and individual differences therein
• The CHIC model: a global model for coupled binary data
• An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models
• A simulated annealing heuristic for unidimensional and multidimensional (city-block) scaling of symmetric proximity matrices.
• An evaluation of two algorithms for hierarchical classes analysis.
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