FSelector v0.21

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by Lars Kotthoff

Selecting Attributes

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.

Readme

FSelector: Selecting attributes

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.

CRAN page: http://cran.r-project.org/web/packages/FSelector/index.html

Functions in FSelector

Name Description
correlation Correlation filter
chi.squared Chi-squared filter
as.simple.formula Converting to formulas
best.first.search Best-first search
cfs CFS filter
FSelector-package Package for selecting attributes
cutoff Cutoffs
consistency Consistency-based filter
greedy.search Greedy search
exhaustive.search Exhaustive search
entropy.based Entropy-based filters
random.forest.importance RandomForest filter
hill.climbing.search Hill climbing search
oneR OneR algorithm
relief RReliefF filter
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Details

Type Package
Date 2016-06-29
License GPL-2
LazyLoad yes
NeedsCompilation no
Packaged 2016-06-30 02:35:21 UTC; larsko
Repository CRAN
Date/Publication 2016-06-30 17:56:47

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