Creating an empirical typology: A review of cluster analysis and other classification techniques

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Authors
Jones, David A.
Drummond, Christine R.
Saunders, Cory D.
Strang, John D.
Advisors
Issue Date
2006
Type
Article
Keywords
Clinical psychology , Multivariate analysis , Personality
Research Projects
Organizational Units
Journal Issue
Citation
Jones, D. A., Drummond, C. R., Saunders, C. D., Strang, J. D. (2006). Creating an Empirical Typology: A Review of Cluster Analysis and Other Classification Techniques. Applied Multivariate Research, 12(2), 73-93. https://doi.org/10.62704/10057/19214
Abstract

As computers have become more powerful, researchers have begun to use more and more complex multivariate statistical procedures to understand data sets. Cluster analysis has flourished in the last decade, yet its complexity and reputation as a form of "soft" statistics continues to hamper its use in many ways. This article is intended as an introduction to both the science and the art of cluster analysis to the reader who has only a basic knowledge of the technique. In addition, a working example is provided to illustrate aspects of the process of completing a cluster analysis.

Table of Contents
Description
Publisher
Wichita State University, Department of Psychology
Journal
Book Title
Series
Applied Multivariate Research
v.12 no.2
PubMed ID
ISSN
1918-1108
EISSN