Morgan, Byron J. T., Ray, A.P.G (1995) Non-uniqueness and Inversions in Cluster Analysis. Applied Statistics-Journal of the Royal Statistical Society Series C, 44 (1). pp. 117-134. ISSN 0035-9254. (doi:10.2307/2986199) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:19397)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.2307/2986199 |
Abstract
Care must be exercised when hierarchical methods of cluster analysis are used. Dendrograms may not be unique, and certain methods are prone to producing inversions. The nature and extent of these features are examined through two case-studies, and by applying seven methods to 20 data sets. Insufficient emphasis on the problems of non-uniqueness and of inversion is made in many text-books and also in computer packages and their manuals.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.2307/2986199 |
| Uncontrolled keywords: | Anorexia Nervosa; Bmdp; Centroid Method; Cluster Analysis; Complete Link Analysis; Dendrograms; Genstat; Group Average Analysis; Hierarchical Methods; Inversion; Median Method; Nonuniqueness; Ntsys-Pc; Phenograms; Pruned Trees; Reversals; Sas; Single-Link Analysis; S-Plus; Spss; Statgraphics; Upgma; Upgmc; Wards Method; Weighted Average Analysis; Wpgma; Wpgmc |
| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
| Depositing User: | O.O. Odanye |
| Date Deposited: | 03 Jun 2009 10:23 UTC |
| Last Modified: | 16 Nov 2021 09:57 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/19397 (The current URI for this page, for reference purposes) |
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