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From Complexity to Simplicity: on the Application of Three Techniques for Multivariate Data Analysis

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Author Info
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.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 23 pages
Date of creation: 01 Dec 2000
Date of revision:
Handle: RePEc:hhb:cbslpf:2000_015

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Postal: Department of Management, Politics and Philosophy, Copenhagen Business School, Blaagaardsgade 23 B, DK-2200 Copenhagen N, Denmark
Phone: +45 3815 3815
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Web page: http://www.cbs.dk/departments/mpp/
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Related research
Keywords: Complexity Simplicity Multivariate Data Analysis Cluster analysis Discriminant analysis

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