X.entropy: The entropy measure
In janusza/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 entropy as a measure of information(Shannon, 1948).
Usage
1
X.entropy(decisionDistrib)
Arguments
decisionDistrib
an integer vector corresponding to a distribution of attribute values
Value
a numeric value indicating entropy of an attribute.
Author(s)
Andrzej Janusz
References
C. E. Shannon, "A Mathematical Theory of Communication", Bell System Technical Journal, vol. 27, p. 379 - 423, 623 - 656 (1948).
janusza/RoughSets documentation built on Jan. 26, 2020, 11:22 p.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 entropy as a measure of information(Shannon, 1948).
Usage
1 | X.entropy(decisionDistrib)
|
Arguments
decisionDistrib |
an integer vector corresponding to a distribution of attribute values |
Value
a numeric value indicating entropy of an attribute.
Author(s)
Andrzej Janusz
References
C. E. Shannon, "A Mathematical Theory of Communication", Bell System Technical Journal, vol. 27, p. 379 - 423, 623 - 656 (1948).
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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