HOFS-package: Higher Order Mutual Information Approximation for Feature...
In KrzyGajow/HOFS: Higher Order Mutual Information Approximation for Feature Selection
HOFS-package R Documentation
Higher Order Mutual Information Approximation for Feature Selection
Description
A higher order Mutual Information (MI) based approximation technique. Instead of producing a single list of features, method produces a ranked collection of feature subsets that maximizes MI, giving better comprehension (feature ranking) as to which features work best together when selected,due to their underlying interdependent structure.
Author(s)
Krzysztof Gajowniczek
Maintainer: krzysztof_gajowniczek@sggw.edu.pl
See Also
HOFS
KrzyGajow/HOFS documentation built on April 4, 2022, 1:56 a.m.
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| HOFS-package | R Documentation |
Higher Order Mutual Information Approximation for Feature Selection
Description
A higher order Mutual Information (MI) based approximation technique. Instead of producing a single list of features, method produces a ranked collection of feature subsets that maximizes MI, giving better comprehension (feature ranking) as to which features work best together when selected,due to their underlying interdependent structure.
Author(s)
Krzysztof Gajowniczek
Maintainer: krzysztof_gajowniczek@sggw.edu.pl
See Also
HOFS
R Package Documentation
Browse R Packages
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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