Non‐Uniqueness and Inversions in Cluster Analysis

Byron J. T. Morgan and Andrew P. G. Ray

Journal of the Royal Statistical Society Series C, 1995, vol. 44, issue 1, 117-134

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.

Date: 1995
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2307/2986199

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:44:y:1995:i:1:p:117-134

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().