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FSinR (version 1.0.8)

Feature Selection

Description

Feature subset selection algorithms modularized in search algorithms and measure utilities. Full list and more information available at .

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Version

Install

install.packages('FSinR')

Monthly Downloads

60

Version

1.0.8

License

GPL-3

Maintainer

Alfonso Jim<c3><a9>nez-V<c3><ad>lchez

Last Published

March 8th, 2020

Functions in FSinR (1.0.8)

binaryConsistency

Binary consistency measure
RFSM

RFSM evaluation measure
chiSquared

Chi squared measure
IEConsistency

Inconsistent Examples consistency measure
aco

Ant Colony Optimization (Advanced Binary Ant Colony Optimization)
breadthFirstSearch

Exhaustive Search. Breadth First Search
MDLC

MDLC evaluation measure
Jd

Jd evaluation measure
IEPConsistency

Inconsistent Examples Pairs consistency measure
get.data.frame.from.formula

get.data.frame.from.formula
determinationCoefficient

R Squared, to continous features
fscore

F-score measure
selectDifference

Select difference
sbs

Sequential Backward Selection
sffs

Sequential Floating Forward Selection
entropyJ

EntropyJ
giniIndex

Gini index measure
hc

Hill-Climbing
selectSlope

Select slope
selectThreshold

Select threshold
lvw

Las Vegas Wrapper
ga

Genetic Algorithm
woa

Whale Optimization Algorithm (Binary Whale Optimization Algorithm)
sfs

Sequential Forward Selection
selectThresholdRange

Select threshold range
normalize.min.max

normalize.min.max
gainRatio

The gain ratio measure
relief

Relief
LCC

Linear Consistency-Constrained algorithm
mutualInformation

The mutual information measure
deepFirstSearch

Exhaustive Search. Deep First Search
cramer

Cramer V measure
normalization

Normalize a data frame
wrapperGenerator

Wrapper measure generator
sfbs

Sequential Floating Backward Selection
symmetricalUncertain

Symmetrical uncertain measure
roughsetConsistency

Rough Set consistency measure
selectKBest

Select K best
sa

Simulated Annealing
entropy

Entropy
selectPercentile

Select Percentile
ts

Tabu Search