Approximate Evaluation Techniques for the Single-Link and Complete-Link Hierarchical Clustering Procedures

1974 Journal of the American Statistical Association 130 citations

Abstract

Abstract A technique is presented for testing the hypothesis that a hierarchical sequence of partitions constructed by the single-link or complete-link clustering method could have been obtained because of "noise." Two rank orderings of the object pairs are compared. One of the orderings is obtained from the initial proximity values; the second is derived from the levels at which an object pair first appears within a single subset within the hierarchy. The hypothesis that the given set of proximity values have been assigned randomly is tested by referring the Goodman-Kruskal rank correlation y statistic to an approximate permutation distribution.

Keywords

Link (geometry)MathematicsPermutation (music)HierarchyRank (graph theory)CombinatoricsCluster analysisStatisticSequence (biology)Set (abstract data type)Hierarchical clusteringAlgorithmStatisticsComputer science

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Publication Info

Year
1974
Type
article
Volume
69
Issue
347
Pages
698-704
Citations
130
Access
Closed

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Lawrence J. Hubert (1974). Approximate Evaluation Techniques for the Single-Link and Complete-Link Hierarchical Clustering Procedures. Journal of the American Statistical Association , 69 (347) , 698-704. https://doi.org/10.1080/01621459.1974.10480191

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DOI
10.1080/01621459.1974.10480191