Measuring the influence of individual data points in a cluster analysis.

DOI10.1007/BF01246105zbMath1059.62554MaRDI QIDQ1126409

Richard Cheng, Glenn W. Milligan

Publication date: 1996

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

Mathematics Subject Classification ID

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

Related Items (8)

Resampling approach for cluster model selection ⋮ A statistical model of cluster stability ⋮ An application of the minimal spanning tree approach to the cluster stability problem ⋮ A permutation test for determining significance of clusters with applications to spatial and gene expression data ⋮ Loevinger's measures of rule quality for assessing cluster stability ⋮ On Application of a ProbabilisticK-Nearest Neighbors Model for Cluster Validation Problem ⋮ Cluster validation for mixtures of regressions via the total sum of squares decomposition ⋮ A note on maximizing the agreement between partitions: a stepwise optimal algorithm and some properties

Cites Work

• A Monte Carlo study of thirty internal criterion measures for cluster analysis
• A Review of Hierarchical Classification
• Measures of Association for Cross Classifications
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