Package: WMDB
Type: Package
Title: Discriminant Analysis Methods by Weight Mahalanobis Distance and
        bayes
Version: 1.0
Date: 2012-06-28
Author: Bingpei Wu
Maintainer: Bingpei Wu<jianpeizhon@126.com>
Description: Distance discriminant analysis method is one of
        classification methods according to multiindex performance
        parameters.However,the traditional Mahalanobis distance
        discriminant method treats with the importance of all
        parameters equally,and exaggerates the role of parameters which
        changes a little.The weighted Mahalanobis distance is used in
        discriminant analysis method to distinguish the importance of
        each parameter.In the concrete application,firstly based on the
        principal component analysis scheme,a new group of parameters
        and their corresponding percent contributions of the parameters
        are calculated ,and the weighted matrix is regarded as the
        diagonal matrix of the contributions rates.Setting data to
        standardization,then the weighted Mahalanobis distance can be
        calculated.Besides the methods metioned above,bayes method is
        also given.
License: GPL (>= 2)
Packaged: 2012-07-06 14:04:03 UTC; Administrator
Repository: CRAN
Date/Publication: 2012-07-06 15:58:00
Built: R 3.1.0; ; 2013-10-24 15:00:15 UTC; unix
