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Creating an empirical typology: A review of cluster analysis and other classification techniques
Jones, David A. Drummond, Christine R. Saunders, Cory D. Strang, John D.
Jones, David A.
Drummond, Christine R.
Saunders, Cory D.
Strang, John D.
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Adobe PDF, 4.11 MB
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Original Date
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Issue Date
2006
Type
Article
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Keywords
Clinical psychology,Multivariate analysis,Personality
Subjects (LCSH)
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
v.12 no.2
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Archival Collection
PubMed ID
ISSN
1918-1108