softmaxnorm {dprep} | R Documentation

## Softmax Normalization

### Description

This is a function to apply softmax normalization to a matrix or dataframe.

### Usage

    softmaxnorm(data)

### Arguments

`data` | the datset to be normalized

### Details

This normalization is so called because it reaches "softly" towards maximum and minimum value, never quite getting there. The transformation is more or less linear in the middle range, and has a nonlinearity at both ends. The output range covered is [0,1]. The algorithm removes the classes of the dataset before normalization and replaces them at the end to form the matrix again.

### Value

`softdata` | original matrix normalized

### Author(s)

Caroline Rodriguez and Edgar Acuna

### Examples

    #---- Softmax Normalization----
    data(sonar)
    sonar.sftnorm=softmaxnorm(sonar)
    op=par(mfrow=c(2,1))
    plot(sonar[,1])
    plot(sonar.sftnorm[,1])
    par(op)

[Package dprep version 1.0 Index]