Innovation in the cluster validating techniques

DOI10.1007/s10700-008-9033-2zbMath1274.62423OpenAlexW1984258073MaRDI QIDQ1028717

Andy Koronios, Ravi Jain

Publication date: 6 July 2009

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-008-9033-2

zbMATH Keywords

clustering algorithmsBaker-Hubert indicesCalinski-Harbasz indexSilhouette width

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• R
• Silhouettes
• UCI-ml

Cites Work

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• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• Cluster validation techniques for genome expression data
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Finding Groups in Data
• Measuring the Power of Hierarchical Cluster Analysis
• On clustering validation techniques

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