Visualizing non-hierarchical and hierarchical cluster analysis with clustergrams

DOI10.1007/BF02915278zbMath1050.62067OpenAlexW2016006380MaRDI QIDQ1887244

Matthias Schonlau

Publication date: 24 November 2004

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02915278

zbMATH Keywords

dendrogramclustergramK-means clusterization algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Graphical methods in statistics (62A09)

Related Items

clustergram ⋮ The Mixturegram: A Visualization Tool for Assessing the Number of Components in Finite Mixture Models

Uses Software

• Silhouettes

Cites Work

• Algorithm AS 136: A K-Means Clustering Algorithm
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
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