Title: Cluster analysis
First published: 1984
Description: This book is designed to be an introduction to cluster analysis for those with no background and for those who need an up-to-date and systematic guide through the maze of concepts, techniques, and algorithms associated with the clustering data. The authors begin by discussing measures of similarity, the input needed to perform any clustering analysis. They note varying theoretical meanings of the concept and discuss the set of empirical measures most commonly used to measure similarity. Various methods for actually identifying the clusters are then described. Finally, they discuss procedures for validating the adequacy of a cluster analysis. At all points, the differing concepts and techniques are compared and evaluated.
Subjects: Statistical methods, Cluster analysis, Social sciences, Methods, Sciences sociales, Méthodes statistiques, Classification automatique (Statistique), MATHEMATICS, Probability & Statistics, Multivariate Analysis, Cluster-Analyse, Soziologie, Clusteranalyse, Sociologia (Pesquisa E Metodologia), Social sciences--methods, Social sciences--statistical methods, Ha29 .a49 1984, Qa 278 a359c 1984, 519.5/35, Statistics
LC classification: HA29 .A49 1984