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WMDB (version 1.0)

Discriminant Analysis Methods by Weight Mahalanobis Distance and bayes

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.

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Version

Install

install.packages('WMDB')

Monthly Downloads

9

Version

1.0

License

GPL (>= 2)

Maintainer

Bingpei Wu

Last Published

July 6th, 2012

Functions in WMDB (1.0)

wmahalanobis

Compute weighted Mahalanobis distance
WMDB-package

Discriminant Analysis Methods by Weight Mahalanobis Distance and bayes
wmd

Discriminant Analysis Methods by Weight Mahalanobis Distance
dbayes

Using bias method to distinguish classes