Clustering Algorithms Based on Tolerance Vector Concept

DOI

Abstract

This paper provides new clustering algorithms for data with tolerance. Tolerance includes wide meanings, e.g., calculation errors and loss of attribute of data. The tolerance is modi?ed using by new concept of tolerance vector. First, the concept is explained and optimization problems of clustering are formulated using the vectors. Second, the problems are solved using some different ways. Third, the new clustering algorithms are constructed by using the solutions of the problems. Moreover, the e?ectiveness of proposed algorithms is veri?ed through some numerical examples.

Journal

  • IEICE Proceeding Series

    IEICE Proceeding Series 41 276-279, 2007-09-16

    The Institute of Electronics, Information and Communication Engineers

Details 詳細情報について

  • CRID
    1390845702290315136
  • NII Article ID
    230000007908
  • DOI
    10.34385/proc.41.18pm2-b-1
  • ISSN
    21885079
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

Report a problem

Back to top