PHD general-purpose classifier computer program. Uses Bayesian methods to classify vectors of real numbers, based on combination of statistical techniques that include multivariate density estimation, Parzen density kernels, and EM (Expectation Maximization) algorithm. By means of simple graphical interface, user trains classifier to recognize two or more classes of data and then use it to identify new data. Written in ANSI C for Unix systems and optimized for online classification applications. Embedded in another program, or runs by itself using simple graphical-user-interface. Online help files makes program easy to use.


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    Title :

    Software For Multivariate Bayesian Classification


    Contributors:

    Published in:

    Publication date :

    1996-03-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English





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