This package provides functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.

Author | Piotr Romanski |

Date of publication | 2013-03-13 10:03:20 |

Maintainer | Lars Kotthoff <larsko@4c.ucc.ie> |

License | GPL-2 |

Version | 0.19 |

**as.simple.formula:** Converting to formulas

**best.first.search:** Best-first search

**cfs:** CFS filter

**chi.squared:** Chi-squared filter

**consistency:** Consistency-based filter

**correlation:** Correlation filter

**cutoff:** Cutoffs

**exhaustive.search:** Exhaustive search

**FSelector-package:** Package for selecting attributes

**greedy.search:** Greedy search

**hill.climbing.search:** Hill climbing search

**information.gain:** Entropy-based filters

**oneR:** OneR algorithm

**random.forest.importance:** RandomForest filter

**relief:** RReliefF filter

FSelector

FSelector/man

FSelector/man/hill.climbing.search.Rd
FSelector/man/oneR.Rd
FSelector/man/correlation.Rd
FSelector/man/best.first.search.Rd
FSelector/man/as.simple.formula.Rd
FSelector/man/greedy.search.Rd
FSelector/man/exhaustive.search.Rd
FSelector/man/FSelector-package.Rd
FSelector/man/consistency.Rd
FSelector/man/chi.squared.Rd
FSelector/man/cfs.Rd
FSelector/man/relief.Rd
FSelector/man/information.gain.Rd
FSelector/man/random.forest.importance.Rd
FSelector/man/cutoff.Rd
FSelector/LICENSE

FSelector/DESCRIPTION

FSelector/NAMESPACE

FSelector/R

FSelector/R/search.greedy.R
FSelector/R/selector.chi.squared.R
FSelector/R/entropy.R
FSelector/R/selector.correlation.R
FSelector/R/normalize.R
FSelector/R/selector.random.forest.R
FSelector/R/discretize.R
FSelector/R/search.exhaustive.R
FSelector/R/selector.relief.R
FSelector/R/selector.cfs.R
FSelector/R/search.hill.climbing.R
FSelector/R/selector.info.gain.R
FSelector/R/cutoff.R
FSelector/R/selector.oneR.R
FSelector/R/misc.R
FSelector/R/search.misc.R
FSelector/R/search.best.first.R
FSelector/R/selector.consistency.R
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