Abstract
The basic aim of cluster analysis is to find the ‘natural groupings’, if any, of a set of individuals (or objects, or points, or units, or whatever). This set of individuals may form a complete population or be a sample from some larger population. More formally, cluster analysis aims to allocate a set of individuals to a set of mutually exclusive, exhaustive, groups such that individuals within a group are similar to one another while individuals in different groups are dissimilar. This set of groups is usually called a partition.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1980 C. Chatfield and A. J. Collins
About this chapter
Cite this chapter
Chatfield, C., Collins, A.J. (1980). Cluster analysis. In: Introduction to Multivariate Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3184-9_11
Download citation
DOI: https://doi.org/10.1007/978-1-4899-3184-9_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-412-16030-1
Online ISBN: 978-1-4899-3184-9
eBook Packages: Springer Book Archive