ignore.redundant: Refines a feature matrix
In FeaLect: Scores Features for Feature Selection

Description Usage Arguments Value Author(s) References See Also Examples

If the value a feature is the same for all points (e.g. =0), it can be ignored.

1	ignore.redundant(F, num.of.values = 1)

`F`	The feature matrix, each column is a feature.
`num.of.values`	A feature should have more than this threshold non-zero values not to be ignored.

The refined feature matrix.

Habil Zare

"Statistical Analysis of Overfitting Features", manuscript in preparation.

FeaLect, train.doctor, doctor.validate, random.subset, compute.balanced,compute.logistic.score, ignore.redundant, input.check.FeaLect

library(FeaLect)
data(mcl_sll)
F <- as.matrix(mcl_sll[ ,-1])	# The Feature matrix
#F <- cbind(F, rep(1, times=dim(F)[1]))
message(dim(F)[1], " samples and ",dim(F)[2], " features.")

G <- ignore.redundant(F)
message("for ",dim(G)[1], " samples, ",dim(G)[2], " features are left.")