A comparative study of divisive and agglomerative hierarchical clustering algorithms

DOI10.1007/s00357-018-9259-9zbMath1422.62227arXiv1506.08977OpenAlexW2887568436WikidataQ129414252 ScholiaQ129414252MaRDI QIDQ2317177

Maurice Roux

Publication date: 8 August 2019

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

Full work available at URL: https://arxiv.org/abs/1506.08977

zbMATH Keywords

hierarchical clusteringultrametricsdendrogramdissimilarity datasplitting proceduresevaluation of hierarchyGoodman-Kruskal correlation coefficient

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Measures of association (correlation, canonical correlation, etc.) (62H20)

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Uses Software

• Silhouettes
• clustervalidation

Cites Work

• Unnamed Item
• Ward's hierarchical agglomerative clustering method: which algorithms implement Ward's criterion?
• Hierarchical clustering via joint between-within distances: extending Ward's minimum variance method
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Monotone invariant clustering procedures
• Finding Groups in Data
• Well-Separated Clusters and Optimal Fuzzy Partitions
• Dissimilarity Analysis: a new Technique of Hierarchical Sub-division
• Some distance properties of latent root and vector methods used in multivariate analysis
• A NEW MEASURE OF RANK CORRELATION
• Measures of Association for Cross Classifications

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