Computes the Redundancy Rate using heterogeneous correlation matrix.
Usage
RedRate(
data_red
)
Value
Redundancy Rate
numeric
Arguments
data_red
A data frame. A subset of data with the selected features.
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.
data(ESI)
data=ESI[,-c(1,3,4,6,9)] ##removing categorical featuresout=UFS(data,alpha=0.01,method='c',pv_adj='BH')
RR=RedRate(out$selected.features)
RR #visualize the index