DESPOTA: dendrogram slicing through a pemutation test approach

DOI10.1007/s00357-015-9179-xzbMath1335.62094OpenAlexW2121861830MaRDI QIDQ269551

Domenico Vistocco, Dario Bruzzese

Publication date: 19 April 2016

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

Full work available at URL: https://doi.org/10.1007/s00357-015-9179-x

zbMATH Keywords

hierarchical clusteringpermutation testscluster detection

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

On the use of quantile regression to deal with heterogeneity: the case of multi-block data

Uses Software

• R
• SEP/COP
• ggplot2
• cluster (R)
• SigClust
• NbClust
• clusterGeneration
• DESPOTA

Cites Work

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• A sharper Bonferroni procedure for multiple tests of significance
• 391: A Monte Carlo Comparison of Six Clustering Procedures
• Model-Based Gaussian and Non-Gaussian Clustering

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