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Six clustering algorithms applied to the WAIS‐R: The problem of dissimilar cluster results
Author(s) -
Fraboni Maryann,
Cooper Douglas
Publication year - 1989
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/1097-4679(198911)45:6<932::aid-jclp2270450617>3.0.co;2-t
Subject(s) - centroid , linkage (software) , cluster analysis , cluster (spacecraft) , complete linkage , hierarchical clustering , psychology , wechsler adult intelligence scale , interpretation (philosophy) , rand index , data mining , complete linkage clustering , artificial intelligence , statistics , algorithm , computer science , mathematics , fuzzy clustering , chemistry , cognition , psychiatry , biochemistry , genotype , single nucleotide polymorphism , gene , programming language , canopy clustering algorithm
Abstract Clusterings of the Wechsler Adult Intelligence Scale‐Revised subtests were obtained from the application of six hierarchical clustering methods (N = 113). These sets of clusters were compared for similarities using the Rand index. The calculated indices suggested similarities of cluster group membership between the Complete Linkage and Centroid methods; Complete Linkage and Ward's methods; Centroid and Ward's methods; and Single Linkage and Average Linkage Between Groups methods. Cautious use of single clustering methods is implied, though the authors suggest some advantages of knowing specific similaries and differences. If between‐method comparisons consistently reveal similar cluster membership, a choice could be made from those algorithms that tend to produce similar partitions,thereby enhancing cluster interpretation.