Junghagen, Sven (Department of Management, Politics and Philosophy, Copenhagen Business School)
Abstract
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.
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Publisher Info
Paper provided by Copenhagen Business School, Department of Management, Politics & Philosophy in its series Working Papers with number
15/2000.
Length: 23 pages Date of creation: 01 Dec 2000 Date of revision: Handle: RePEc:hhb:cbslpf:2000_015
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