Abstract
Cluster analysis is a generic term for a large collection of techniques designed to investigate multivariate data to determine whether the data consist of relatively distinct groups of similar ‘individuals’ (using individuals as a general term for the variety of entities that may be the subject of the analysis). In medicine, for example, discovering that a large set of patients can be partitioned into a small number of groups or clusters, within which the patients have very similar characteristics may have important implications both for treatment of the disease and for understanding its etiology.
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© 2001 Springer Science+Business Media New York
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Everitt, B., Rabe-Hesketh, S. (2001). Cluster Analysis. In: Analyzing Medical Data Using S-PLUS. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3285-6_20
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DOI: https://doi.org/10.1007/978-1-4757-3285-6_20
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-3176-4
Online ISBN: 978-1-4757-3285-6
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