augmentation

This function is a data augmentation technique. It duplicates rows and add gaussian noise to the duplicates.

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

Alexandre Blansché

augmentation function

<dl><dt>dataset</dt>
<dd>The dataset to be split (<code>data.frame</code> or <code>matrix</code>).</dd>
<dt>target</dt>
<dd>The column index of the target variable (class label or response variable).</dd>
<dt>n</dt>
<dd>The scaling factor (as an integer value).</dd>
<dt>sigma</dt>
<dd>The baseline variance for the noise generation.</dd>
<dt>seed</dt>
<dd>A specified seed for random number generation.</dd></dl>

Arguments

Duplicate and add noise to a dataset — augmentation

<dl>

<dt>dataset</dt>
<dd>The dataset to be split (<code>data.frame</code> or <code>matrix</code>).</dd>


<dt>target</dt>
<dd>The column index of the target variable (class label or response variable).</dd>


<dt>n</dt>
<dd>The scaling factor (as an integer value).</dd>


<dt>sigma</dt>
<dd>The baseline variance for the noise generation.</dd>


<dt>seed</dt>
<dd>A specified seed for random number generation.</dd>

</dl>

augmentation: Duplicate and add noise to a dataset

Description

Usage

Value

Arguments

Examples