RedRate: Redundancy Rate

In hetcorFS: Unsupervised Feature Selection using the Heterogeneous Correlation Matrix

Redundancy Rate

Description

Computes the Redundancy Rate using heterogeneous correlation matrix.

Usage

RedRate(
  data_red
)

Arguments

data_red

A data frame. A subset of data with the selected features.

Value

Redundancy Rate

numeric

References

Zhao, Z., L. Wang, and H. Liu (2010). Efficient spectral feature selection with minimum redundancy. In Proceedings of the AAAI conference on artificial intelligence, Volume 24, pp. 673–678.

Examples

data(ESI)
data=ESI[,-c(1,3,4,6,9)] ##removing categorical features
out=UFS(data,alpha=0.01,method='c',pv_adj='BH')
RR=RedRate(out$selected.features)
RR #visualize the index

hetcorFS documentation built on Nov. 24, 2025, 5:07 p.m.