reliefcat

data

 The size of the sample drawn and used to update the relevance of each feature. Usually it is equal to the total number of instances. 

nosample

 The threshold for choosing the relevant features

threshold

 A vector of indices indicating the nominal features

vnom

The number of the repetitions. It is recommended to use at most 10 repetitions. If the nosample=number of instances then set repet=1

repet


This function applies the RELIEF Algorithm to datasets containing nominal attributes.  


Feature Selection

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

reliefcat: Feature selection by the Relief Algorithm for datasets containing nominal features

Description

Usage

Arguments

See Also