| Name : R-WMDB
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:05:04
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| Group : Development/Libraries/Other
| Source RPM : R-WMDB-1.0-lp153.2.13.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : 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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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
