A new approach to isotonic agglomerative hierarchical clustering

DOI10.1007/BF02616240zbMath0777.92026WikidataQ58434269 ScholiaQ58434269MaRDI QIDQ1203108

Werner Vach, Paul O. Degens

Publication date: 4 February 1993

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

zbMATH Keywords

classificationleast squares approximationapproximation from aboveagglomerative hierarchical clusteringgeneralizations of complete linkage and average linkagelevel statisticlocally optimal ultrametricsnew agglomerative algorithmsselection statistic

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Clustering in the social and behavioral sciences (91C20)

Related Items (1)

Constructing optimal ultrametrics

Cites Work

• Ultrametric hierarchical clustering algorithms
• Consensus n-trees
• U-statistic hierarchical clustering
• Hierarchical clustering schemes
• Some extensions of Johnson's hierarchical clustering algorithms
• Monotone invariant clustering procedures
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