Min and max hierarchical clustering using asymmetric similarity measures

DOI10.1007/BF02291174zbMath0251.92014OpenAlexW1999734271MaRDI QIDQ2557194

Lawrence J. Hubert

Publication date: 1973

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02291174

Mathematics Subject Classification ID

Multivariate analysis (62H99) Population dynamics (general) (92D25) Mathematical programming (90C99)

Related Items (15)

Classification of asymmetric proximity data ⋮ Minimum Spanning Tree-Resembling algorithm for Clusters, Outliers and Hubs ⋮ Cluster analysis and mathematical programming ⋮ Validity studies in clustering methodologies ⋮ Methods for the analysis of asymmetric pairwise relationships ⋮ Hierarchical clustering of asymmetric networks ⋮ Clusteranalyse - Überblick und neuere Entwicklungen ⋮ Some applications of graph theory to clustering ⋮ Graph coloring, minimum-diameter partitioning, and the analysis of confusion matrices ⋮ Data analysis and the connectivity of random graphs ⋮ Nonmetric grouping: clusters and cliques ⋮ Asymmetric aggregation operator and its application to fuzzy clustering model ⋮ An improved algorithm for hierarchical clustering using strong components ⋮ Robust Hierarchical Clustering for Directed Networks: An Axiomatic Approach ⋮ Classic: A hierarchical clustering algorithm based on asymmetric similarities

Cites Work

• Hierarchical clustering schemes
• Some extensions of Johnson's hierarchical clustering algorithms
• Unnamed Item

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