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Finding groups in data: an introduction to cluster analysis

Choice Reviews Online · 1991

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Publisher
Choice Reviews Online
Year
1991
Language
English

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1. Introduction. 2. Partitioning Around Medoids (Program PAM). 3. Clustering large Applications (Program CLARA). 4. Fuzzy Analysis. 5. Agglomerative Nesting (Program AGNES). 6. Divisive Analysis (Program DIANA). 7. Monothetic Analysis (Program MONA). Appendix 1. Implementation and Structure of the Programs. Appendix 2. Running the Programs. Appendix 3. Adapting the Programs to Your Needs. Appendix 4. The Program CLUSPLOT. References. Author Index. Subject Index.

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APA 7

Online, C. R. (1991). Finding groups in data: an introduction to cluster analysis. https://doi.org/10.5860/choice.28-4558

MLA

Online, Choice Reviews. "Finding groups in data: an introduction to cluster analysis." 1991. https://doi.org/10.5860/choice.28-4558.

Chicago

Online, Choice Reviews. 1991. "Finding groups in data: an introduction to cluster analysis.". https://doi.org/10.5860/choice.28-4558.

Harvard

Online, C. R. 1991, Finding groups in data: an introduction to cluster analysis, Choice Reviews Online, available at: https://doi.org/10.5860/choice.28-4558 [Accessed 7 Aug. 2026].

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Title
Finding groups in data: an introduction to cluster analysis
Author / contributors
Choice Reviews Online
Publisher
Choice Reviews Online
Publication year
1991
Language
English

Subjects

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Cluster (spacecraft); Computer science; Genealogy; History; Computer network
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