Jd {FSinR}

Jd evaluation measure

Description

Generates an evaluation function that applies the discriminant function designed by Narendra and Fukunaga (Narendra and Fukunaga 1977-sep) to generate an evaluation measure for a set of features (set measure). This function is called internally within the filterEvaluator function.

Usage

Jd()

Value

Returns a function that is used to generate an evaluation set measure using the Jd.

Author(s)

Alfonso Jiménez-Vílchez

References

Narendra P, Fukunaga K (1977-sep). “A Branch and Bound Algorithm for Feature Subset Selection.” IEEE Transactions on Computers, 26, 917–922. doi: 10.1109/TC.1977.1674939.

Examples

## Not run:  

## The direct application of this function is an advanced use that consists of using this 
# function directly to evaluate a set of features
## Classification problem

# Generate the evaluation function with JD
Jd_evaluator <- Jd()
# Evaluate the features (parametes: dataset, target variable and features)
Jd_evaluator(ToothGrowth,'supp',c('len','dose'))

## End(Not run)