Quotation Franke, Nikolaus, Reisinger, Heribert, Hoppe, Daniel. 2009. Remaining within-cluster heterogeneity: A meta-analysis of the "dark side" of clustering methods. Journal of Marketing Management 25 (3-4): S. 273-293.


RIS


BibTeX

Abstract

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.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Marketing Management
WU-Journal-Rating new MAR-C, STRAT-C
Language English
Title Remaining within-cluster heterogeneity: A meta-analysis of the "dark side" of clustering methods
Volume 25
Number 3-4
Year 2009
Page from 273
Page to 293
Reviewed? Y
DOI http://dx.doi.org/10.1362/026725709X429755

Associations

People
Franke, Nikolaus (Details)
External
Hoppe, Daniel (Universit├Ąt Wien, Austria)
Reisinger, Heribert (Universit├Ąt Wien, Austria)
Organization
Entrepreneurship and Innovation IN (Details)
Google Scholar: Search