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A Tolerance Concept in Data Clustering

  • Fu-Shing Sun
  • Chun-Hung Tzeng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2690)

Abstract

This paper introduces the concept of tolerance space as an abstract model of data clustering. The similarity in the model is represented by a relation with both reflexivity and symmetry, called a tolerance relation. Three types of clusterings based on a tolerance relation are introduced: maximal complete similarity clustering, representative clustering, and closure clustering. This paper also discusses experiments on unsupervised learning, in which Hamming distance is used to define a family of tolerance relations.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Fu-Shing Sun
    • 1
  • Chun-Hung Tzeng
    • 1
  1. 1.Computer Science DepartmentBall State UniversityMuncieUSA

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