• DocumentCode
    2416990
  • Title

    A minimum code length technique for clustering of syntactic patterns

  • Author

    Fred, Ana L N ; Leitão, Jose M N

  • Author_Institution
    Inst. Superior Tecnico, Lisbon, Portugal
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    680
  • Abstract
    This paper addresses the problem of clustering of syntactic patterns using string descriptions. A new similarity measure between strings is proposed based on the search of common subpatterns by means of Solomonoff´s coding. This coding scheme is further explored in an agglomerative clustering algorithm, which uses a minimum description length (MDL) type criterion
  • Keywords
    codes; encoding; pattern recognition; Solomonoff coding; agglomerative clustering algorithm; minimum code length technique; similarity measure; string descriptions; syntactic patterns; Clustering algorithms; Costs; Error correction; Image analysis; Image recognition; Pattern analysis; Pattern matching; Pattern recognition; Speech analysis; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546909
  • Filename
    546909