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

Authors
Disciplines
  • Computer Science
  • Mathematics

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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