A Comparative Study of Divisive and Agglomerative Hierarchical Clustering Algorithms

A general scheme for divisive hierarchical clustering algorithms is proposed. It is made of three main steps: first a splitting procedure for the subdivision of clusters into two subclusters, second a local evaluation of the bipartitions resulting from the tentative splits and, third, a formula for...

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Veröffentlicht in:	Journal of classification Jg. 35; H. 2; S. 345 - 366
1. Verfasser:	Roux, Maurice
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2018 Springer Nature B.V Springer Verlag
Schlagworte:	Agglomeration Algorithms Bioinformatics Cluster analysis Clustering Comparative analysis Comparative studies Correlation coefficients Goodness of fit Hierarchies Marketing Mathematics and Statistics Morality Other Statistics Pattern Recognition Psychometrics Signal,Image and Speech Processing Statistical Theory and Methods Statistics Splitting procedures Hierarchical clustering Dissimilarity data Dendrogram Ultrametrics Evaluation of hierarchy
ISSN:	0176-4268, 1432-1343
Online-Zugang:	Volltext
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