FSelector: Selecting attributes
Version 0.19

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.

AuthorPiotr Romanski
Date of publication2013-03-13 10:03:20
MaintainerLars Kotthoff <larsko@4c.ucc.ie>
LicenseGPL-2
Version0.19
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("FSelector", repos="http://R-Forge.R-project.org")

Getting started

Package overview

Popular man pages

as.simple.formula: Converting to formulas
consistency: Consistency-based filter
correlation: Correlation filter
exhaustive.search: Exhaustive search
FSelector-package: Package for selecting attributes
oneR: OneR algorithm
random.forest.importance: RandomForest filter
See all...

All man pages Function index File listing

Man pages

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

Functions

Files

man
man/hill.climbing.search.Rd
man/oneR.Rd
man/correlation.Rd
man/best.first.search.Rd
man/as.simple.formula.Rd
man/greedy.search.Rd
man/exhaustive.search.Rd
man/FSelector-package.Rd
man/consistency.Rd
man/chi.squared.Rd
man/cfs.Rd
man/relief.Rd
man/information.gain.Rd
man/random.forest.importance.Rd
man/cutoff.Rd
LICENSE
DESCRIPTION
NAMESPACE
R
R/search.greedy.R
R/selector.chi.squared.R
R/entropy.R
R/selector.correlation.R
R/normalize.R
R/selector.random.forest.R
R/discretize.R
R/search.exhaustive.R
R/selector.relief.R
R/selector.cfs.R
R/search.hill.climbing.R
R/selector.info.gain.R
R/cutoff.R
R/selector.oneR.R
R/misc.R
R/search.misc.R
R/search.best.first.R
R/selector.consistency.R
FSelector documentation built on May 21, 2017, 12:45 a.m.

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