WMDB: Discriminant Analysis Methods by Weight Mahalanobis Distance and bayes

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.

Author
Bingpei Wu
Date of publication
2012-07-06 15:58:00
Maintainer
Bingpei Wu<jianpeizhon@126.com>
License
GPL (>= 2)
Version
1.0

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Man pages

dbayes
Using bias method to distinguish classes
wmahalanobis
Compute weighted Mahalanobis distance
wmd
Discriminant Analysis Methods by Weight Mahalanobis Distance
WMDB-package
Discriminant Analysis Methods by Weight Mahalanobis Distance...

Files in this package

WMDB
WMDB/MD5
WMDB/R
WMDB/R/wmdb.R
WMDB/NAMESPACE
WMDB/man
WMDB/man/WMDB-package.Rd
WMDB/man/wmd.Rd
WMDB/man/wmahalanobis.Rd
WMDB/man/dbayes.Rd
WMDB/DESCRIPTION