fs.mrmr: Minimum Redundancy Maximal Relevancy

In biocsuwb/EnsembleFS-package: Ensemble feature selection methods for analysis of molecular data

Minimum Redundancy Maximal Relevancy

Description

Minimum Redundancy Maximal Relevancy

Usage

fs.mrmr(x, y, params = list(feature.number = 100))

Arguments

x	input data where columns are variables and rows are observations (all numeric)
y	decision variable as a boolean vector of length equal to number of observations
params	number of attributes to select. Must not exceed, feature.number there cannot be more than the number of columns

Details

Performs MRMR for feature selection

Value

A data.frame with selected features

Examples

## Not run: 

decisions <- data$class
data$class <- NULL

fs.mrmr(data, decisions, params = list(feature.number = 100))

## End(Not run)

biocsuwb/EnsembleFS-package documentation built on Dec. 9, 2024, 5:32 p.m.