Description Usage Arguments Details Value Author(s) References See Also Examples

Function for normalizing the range of values of a continuous variable using the SoftMax function (Pyle, 199).

1 |

`x` |
A vector with numeric values |

`lambda` |
A numeric value entering the formula of the soft max function (see Details). Defaults to 2. |

`avg` |
The statistic of centrality of the continuous variable being normalized
(defaults to the mean of the values in |

`std` |
The statistic of spread of the continuous variable being normalized
(defaults to the standard deviation of the values in |

The Soft Max normalization consist in transforming the value x into

1 / [ 1+ exp( (x-AVG(x))/(LAMBDA*SD(X)/2*PI) ) ]

An object with the same dimensions as `x`

but with the values normalized

Luis Torgo [email protected]

Pyle, D. (1999). *Data preparation for data mining*. Morgan Kaufmann.

Torgo, L. (2010) *Data Mining using R: learning with case studies*,
CRC Press (ISBN: 9781439810187).

http://www.dcc.fc.up.pt/~ltorgo/DataMiningWithR

`scale`

, `LinearScaling`

, `ReScaling`

1 2 3 |

DMwR documentation built on May 29, 2017, 12:06 p.m.

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