boxclus

Produce a box-and-whisker plot for clustering results.

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

boxclus function

<dl><dt>d</dt>
<dd>The dataset (<code>matrix</code> or <code>data.frame</code>).</dd>
<dt>clusters</dt>
<dd>Cluster labels of the training set: a numeric <code>vector</code> (0 marking the
observations a density method left as noise), or a <code>factor</code>/character vector, whose
levels are then used to label the legend.</dd>
<dt>legendpos</dt>
<dd>Position of the legend</dd>
<dt>...</dt>
<dd>Other parameters.</dd></dl>

Arguments

Clustering Box Plots — boxclus

<dl>

<dt>d</dt>
<dd>The dataset (<code>matrix</code> or <code>data.frame</code>).</dd>


<dt>clusters</dt>
<dd>Cluster labels of the training set: a numeric <code>vector</code> (0 marking the
observations a density method left as noise), or a <code>factor</code>/character vector, whose
levels are then used to label the legend.</dd>


<dt>legendpos</dt>
<dd>Position of the legend</dd>


<dt>...</dt>
<dd>Other parameters.</dd>

</dl>

boxclus: Clustering Box Plots

Description

Usage

Arguments

See Also

Examples