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Journal of Classification

, Volume 2, Issue 1, pp 157–172 | Cite as

Numerical classification of proximity data with assignment measures

  • Michael P. Windham
Authors Of Articles

Abstract

An approach to numerical classification is described, which treats the assignment of objects to types as a continuous variable, called an assignment measure. Describing a classification by an assignment measure allows one not only to determine the types of objects, but also to see relationships among the objects of the same type and among the types themselves.

A classification procedure, the Assignment-Prototype algorithm, is described and evaluated. It is a numerical technique for obtaining assignment measures directly from one-mode, two-way proximity matrices.

Keywords

Numerical classification Cluster analysis Assignment measures Proximity data Dissimilarity data Assignment-Prototype Algorithm 

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Copyright information

© Springer-Verlag New York Inc 1985

Authors and Affiliations

  • Michael P. Windham
    • 1
  1. 1.Department of MathematicsUtah State UniversityLoganUSA

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