RSNNS: normalizeData – R documentation

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RSNNS

normalizeData

Data normalization

Description

The input matrix is column-wise normalized.

Usage

normalizeData(x, type = "norm")

Arguments

`x`	input data
`type`	either type string specifying the type of normalization. Implemented are "0_1", "center", and "norm" or attribute list of a former call to this method to apply e.g. normalization of the training data to the test data

Details

The parameter type specifies, how normalization takes place:

0_1: values are normalized to the [0,1]-interval. The minimum in the data is mapped to zero, the maximum to one.
center: the data is centered, i.e. the mean is substracted
norm: the data is normalized to mean zero, variance one

Value

column-wise normalized input. The normalization parameters that were used for the normalization are present as attributes of the output. They can be obtained with getNormParameters.

Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Andreas Zell [ctb] (Part of original SNNS development team), Niels Mache [ctb] (Part of original SNNS development team), Günter Mamier [ctb] (Part of original SNNS development team), Michael Vogt [ctb] (Part of original SNNS development team), Sven Döring [ctb] (Part of original SNNS development team), Ralf Hübner [ctb] (Part of original SNNS development team), Kai-Uwe Herrmann [ctb] (Part of original SNNS development team), Tobias Soyez [ctb] (Part of original SNNS development team), Michael Schmalzl [ctb] (Part of original SNNS development team), Tilman Sommer [ctb] (Part of original SNNS development team), Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team), Dietmar Posselt [ctb] (Part of original SNNS development team), Tobias Schreiner [ctb] (Part of original SNNS development team), Bernward Kett [ctb] (Part of original SNNS development team), Martin Reczko [ctb] (Part of original SNNS external contributors), Martin Riedmiller [ctb] (Part of original SNNS external contributors), Mark Seemann [ctb] (Part of original SNNS external contributors), Marcus Ritt [ctb] (Part of original SNNS external contributors), Jamie DeCoster [ctb] (Part of original SNNS external contributors), Jochen Biedermann [ctb] (Part of original SNNS external contributors), Joachim Danz [ctb] (Part of original SNNS development team), Christian Wehrfritz [ctb] (Part of original SNNS development team), Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3), Andre El-Ama [ctb] (Contributors to SNNS Version 4.3)

Initial release

2019-09-16