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Cluster analysis of antigenic profiles of tumors: selection of number of clusters using Akaike's information criterion

Academic Article
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Overview

authors

  • Koziol, James

publication date

  • July 1990

journal

  • Methods of Information in Medicine  Journal

abstract

  • A basic problem of cluster analysis is the determination or selection of the number of clusters evinced in any set of data. We address this issue with multinomial data using Akaike's information criterion and demonstrate its utility in identifying an appropriate number of clusters of tumor types with similar profiles of cell surface antigens.

subject areas

  • Algorithms
  • Antigens, Neoplasm
  • Antigens, Surface
  • Cluster Analysis
  • Humans
  • Immunohistochemistry
  • Neoplasms
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Identity

International Standard Serial Number (ISSN)

  • 0026-1270

PubMed ID

  • 2215261
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Additional Document Info

start page

  • 200

end page

  • 204

volume

  • 29

issue

  • 3

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