Structural classification analysis of three-way dissimilarity data

DOI10.1007/s00357-009-9033-0zbMath1337.62140OpenAlexW2092728258MaRDI QIDQ265307

Donatella Vicari, Maurizio Vichi

Publication date: 1 April 2016

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

Full work available at URL: https://doi.org/10.1007/s00357-009-9033-0

zbMATH Keywords

classificationpartitionhierarchythree-way datadissimilarity

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

ROOTCLUS: searching for ``ROOT clusters in three-way proximity data, GINDCLUS: generalized INDCLUS with external information, Italian contributions on some recent research topics in cluster analysis, FINDCLUS: fuzzy individual differences clustering

Uses Software

• UCI-ml
• MAPCLUS
• clusfind

Cites Work

• Unnamed Item
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• Partitions of partitions
• One-mode classification of a three-way data matrix
• Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices
• Fuzzy partition models for fitting a set of partitions
• Finding Groups in Data
• 10.1162/153244303321897735
• The analysis of proximity matrices through sums of matrices having (anti‐)Robinson forms