cda-class

This class contains the classification model obtained by the CDA method.

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 Donn<c3><a9>es en Master 2 Informatique D<c3><a9>cisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

cda-class function

<dl class="dl-horizontal">
<dt><code>proj</code></dt><dd>The projection of the dataset into the canonical base. A <code>data.frame</code>.</dd></dl><dt><code>transform</code></dt><dd>The transformation matrix between. A <code>matrix</code>.</dd><dt><code>centers</code></dt><dd>Coordinates of the class centers. A <code>matrix</code>.</dd><dt><code>within</code></dt><dd>The intr-class covarianc matrix. A <code>matrix</code>.</dd><dt><code>eig</code></dt><dd>The eigen-values. A <code>matrix</code>.</dd><dt><code>dim</code></dt><dd>The number of dimensions of the canonical base (numeric value).</dd><dt><code>nb.classes</code></dt><dd>The number of clusters (numeric value).</dd><dt><code>train</code></dt><dd>The training set (description). A <code>data.frame</code>.</dd><dt><code>labels</code></dt><dd>Class labels of the training set. Either a <code>factor</code> or an integer <code>vector</code>.</dd><dt><code>model</code></dt><dd>The prediction model.</dd>

cda-class: Canonical Disciminant Analysis model

Description

Arguments

Slots

See Also