Last edited by Doum
Saturday, October 17, 2020 | History

2 edition of dissimilarity measure for clustering high- and infinite dimensional data that satisfies the triangle inequality found in the catalog.

dissimilarity measure for clustering high- and infinite dimensional data that satisfies the triangle inequality

Eduardo A. Socolovsky

dissimilarity measure for clustering high- and infinite dimensional data that satisfies the triangle inequality

by Eduardo A. Socolovsky

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  • 1 Currently reading

Published by Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, National Technical Information Service, distributor in Hampton, VA, Springfield, VA .
Written in English

    Subjects:
  • Correlation (Statistics),
  • Discriminant analysis.,
  • Data mining.

  • Edition Notes

    Other titlesICASE
    StatementEduardo A. Socolovsky.
    SeriesICASE interim report -- no. 43, NASA/CR -- 2002-212136, NASA contractor report -- NASA CR-2002-212136.
    ContributionsInstitute for Computer Applications in Science and Engineering., Langley Research Center.
    The Physical Object
    Pagination11 p. ;
    Number of Pages11
    ID Numbers
    Open LibraryOL19441558M


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Dissimilarity measure for clustering high- and infinite dimensional data that satisfies the triangle inequality by Eduardo A. Socolovsky Download PDF EPUB FB2