THE DIFFERENCE BETWEEN CLUSTER ANALYSIS AND DISCRIMINANT ANALYSIS

Abstract

The study aimed to introduce cluster analysis and Discriminant analysis, as they are considered advanced topics in statistics and are not accessible to many researchers, to give them an idea of how to use them in the process of classifying multivariate phenomena, and to achieve the goal of the study, the researcher used the descriptive approach for its suitability to the nature of the study. The study found many differences between Discriminant analysis and cluster analysis in the study of phenomena, most notably that Discriminant analysis is concerned with the issue of discrimination and separation between groups and requires prior knowledge of the number of totals, as it seeks to form a statistical model that illustrates the interrelationship between different variables.