A method of predicting the number of clusters using Rand's statistic

DOI10.1016/j.csda.2005.08.006zbMath1446.62176OpenAlexW2038348717MaRDI QIDQ959433

Seong S. Chae, Janice L. Dubien, William D. Warde

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.08.006

zbMATH Keywords

agreementagglomerative clustering algorithmRand's \(C_k\) statistic

Mathematics Subject Classification ID

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

Related Items (5)

Cluster analysis using different correlation coefficients ⋮ Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables ⋮ Iterative factor clustering of binary data ⋮ On the behaviour of \(K\)-means clustering of a dissimilarity matrix by means of full multidimensional scaling ⋮ Intelligent choice of the number of clusters in \(K\)-means clustering: an experimental study with different cluster spreads

Cites Work

• Cluster analysis. A survey
• Moments of Rand's \(C\) statistic in cluster analysis
• A Method for Comparing Two Hierarchical Clusterings
• A comparison of agglomerative clustering methods with respect to noise
• A mathematical comparison of the members of an infinite family of agglomerative clustering algorithms
• Unnamed Item

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