On a Simple Minkowski Metric Classifier

Godfried Toussaint

    Research output: Contribution to journalArticle

    Abstract

    A classifier which, in general, implements a nonlinear decision boundary is shown to be equivalent to a linear discriminant function when the measurements are binary valued; its relation to the Bayes classifier is derived. The classifier requires less computation than a similar one based on the Euclidean distance and can perform equally well.

    Original languageEnglish (US)
    Pages (from-to)360-362
    Number of pages3
    JournalIEEE Transactions on Systems Science and Cybernetics
    Volume6
    Issue number4
    DOIs
    StatePublished - Jan 1 1970

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    Classifiers

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    On a Simple Minkowski Metric Classifier. / Toussaint, Godfried.

    In: IEEE Transactions on Systems Science and Cybernetics, Vol. 6, No. 4, 01.01.1970, p. 360-362.

    Research output: Contribution to journalArticle

    Toussaint, Godfried. / On a Simple Minkowski Metric Classifier. In: IEEE Transactions on Systems Science and Cybernetics. 1970 ; Vol. 6, No. 4. pp. 360-362.
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