Clustering the Constitutive Elements of Measuring Tables Data Structure

DOI10.1080/03610910600716597zbMath1104.62003OpenAlexW2006331409MaRDI QIDQ5481745

Amar Rebbouh

Publication date: 10 August 2006

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910600716597

zbMATH Keywords

similarityfactorial analysisclustering criterionconstitutive elementHilbert--Schmidt inner productKullback--Leibler distance

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of functional analysis in probability theory and statistics (46N30) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Clustering objects described by juxtaposition of binary data tables

Cites Work

• Inferring Effects on Tumor Frequencies and Times to Observation in the Analysis of Tumor Multiplicity Data
• Hierarchical dependency models for multivariate survival data with censoring

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