• DocumentCode
    1124316
  • Title

    Comments on ``An Automated Approach to the Design of Decision Tree Classifiers´´

  • Author

    Kim, Baek S. ; Park, Song B.

  • Author_Institution
    Department of Electrical Engineering, KAIST, P.O. Box 131, Cheongryang, Seoul, Korea.
  • Issue
    4
  • fYear
    1986
  • fDate
    7/1/1986 12:00:00 AM
  • Firstpage
    560
  • Lastpage
    560
  • Abstract
    The above paper1 provides an automated technique for decision tree design which relies only on a priori statistics. The technique is basically to find a partition of the class set which maximizes the probability of correct classification at a given decision node. To do so, in the above paper1 all the possible partitions are searched exhaustively. In the present comment it is pointed out that the search for the partitions with a size of two is sufficient, and the higher order of partitions need not be searched.
  • Keywords
    Binary trees; Classification tree analysis; Decision trees; Design methodology; Equations; Pattern recognition; Probability; Statistics; Automated decision tree design; pattern recognition; table look-up classifier;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1986.4767824
  • Filename
    4767824