From Complexity to Simplicity: on the Application of Three Techniques for Multivariate Data Analysis
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Sven Junghagen: Department of Management, Politics and Philosophy, Copenhagen Business School, Postal: Department of Management, Politics and Philosophy, Copenhagen Business School, Blaagaardsgade 23 B, DK-2200 Copenhagen N, Denmark
No 15/2000, Working Papers from Copenhagen Business School, Department of Management, Politics & Philosophy
The aim of this paper is to give an overview of three important techniques; factor, cluster and discriminant analysis. I find it necessary and more important to have an understanding of the basic assumptions and the underlying foundations of the methods rather than a thorough mathematical understanding of the algorithms. I will therefore account for a description of these methods based on a geometrical viewpoint and a more conceptual view rather than mathematical. A general description of the three techniques will be followed by a case, showing an application of all three techniques in the same study.
Keywords: Complexity; Simplicity; Multivariate Data Analysis; Cluster analysis; Discriminant analysis (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:hhb:cbslpf:2000_015
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