X.gini: The gini-index measure
In RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories
Description
Usage
Arguments
Value
Author(s)
References
View source: R/FeatureSelection.OtherFuncCollections.R
Description
An auxiliary function for the qualityF parameter in the FS.greedy.heuristic.reduct.RST, FS.DAAR.heuristic.RST and FS.greedy.heuristic.superreduct.RST functions.
It is based on the gini index as a measure of information (Stoffel and Raileanu, 2000).
Usage
1
X.gini(decisionDistrib)
Arguments
decisionDistrib
an integer vector corresponding to a distribution of attribute values.
Value
a numeric value indicating the gini index of an attribute.
Author(s)
Andrzej Janusz
References
K. Stoffel and L. E. Raileanu, "Selecting Optimal Split-Functions with Linear Threshold Unit Trees and Madaline-Style Networks",
in: Research and Development in Intelligent Systems XVII, BCS Conference Series (2000).
RoughSets documentation built on Dec. 16, 2019, 1:37 a.m.
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Description Usage Arguments Value Author(s) References
View source: R/FeatureSelection.OtherFuncCollections.R
Description
An auxiliary function for the qualityF parameter in the FS.greedy.heuristic.reduct.RST, FS.DAAR.heuristic.RST and FS.greedy.heuristic.superreduct.RST functions.
It is based on the gini index as a measure of information (Stoffel and Raileanu, 2000).
Usage
1 | X.gini(decisionDistrib)
|
Arguments
decisionDistrib |
an integer vector corresponding to a distribution of attribute values. |
Value
a numeric value indicating the gini index of an attribute.
Author(s)
Andrzej Janusz
References
K. Stoffel and L. E. Raileanu, "Selecting Optimal Split-Functions with Linear Threshold Unit Trees and Madaline-Style Networks", in: Research and Development in Intelligent Systems XVII, BCS Conference Series (2000).
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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