In a meta-analysis of articles employing clustering methods, we find that little attention is
paid to remaining within-cluster heterogeneity and that average values are relatively high.
We suggest addressing this potentially problematic "dark side" of cluster analysis by
providing two coefficients as standard information in any cluster analysis findings: a
goodness-of-fit measure and a measure which relates explained variation of analysed
empirical data to explained variation of simulated random data. The second coefficient is
referred to as the Index of Clustering Appropriateness (ICA). Finally, we develop a
classification scheme depicting acceptable levels of remaining within-cluster heterogeneity. (authors' abstract)
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:3088 |
| Date | 04 1900 |
| Creators | Franke, Nikolaus, Reisinger, Heribert, Hoppe, Daniel |
| Publisher | Taylor & Francis |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Article, PeerReviewed |
| Format | application/pdf |
| Relation | http://dx.doi.org/10.1362/026725709X429755, http://www.tandf.co.uk/journals/titles/0267257X.asp, http://epub.wu.ac.at/3088/ |
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