An evaluation of two algorithms for hierarchical classes analysis.

DOI10.1007/s00357-001-0005-2zbMath1040.91086OpenAlexW1963842899MaRDI QIDQ1566109

Iven van Mechelen, Iwin Leenen

Publication date: 2001

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-001-0005-2

zbMATH Keywords

branch-and-bound algorithmsimulationbinary datahierarchical classificationcombinatorial data analysis

Mathematics Subject Classification ID

Clustering in the social and behavioral sciences (91C20)

Related Items (13)

Two-mode clustering methods: astructuredoverview ⋮ The CLASSI-N method for the study of sequential processes ⋮ Factorization with Hierarchical Classes Analysis and with Formal Concept Analysis ⋮ Bayesian hierarchical classes analysis ⋮ The SIMCLAS model: simultaneous analysis of coupled binary data matrices with noise heterogeneity between and within data blocks ⋮ Tucker2 hierarchical classes analysis ⋮ A conjunctive parallelogram model for Pick any/\(n\) data ⋮ Hierarchical classes models for three-way three-mode binary data: interrelations and model selection ⋮ Conjunctive prediction of an ordinal criterion variable on the basis of binary predictors ⋮ The CHIC model: a global model for coupled binary data ⋮ Models for ordinal hierarchical classes analysis ⋮ The local minima problem in hierarchical classes analysis: an evaluation of a simulated annealing algorithm and various multistart procedures ⋮ Hierarchical classes modeling of rating data

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