scatterplot

Produce a scatter plot for clustering results. If the dataset has more than two dimensions, the scatter plot will show the two first PCA axes.

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

scatterplot 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 (<code>vector</code> or <code>factor</code>).</dd>
<dt>centers</dt>
<dd>Coordinates of the cluster centers.</dd>
<dt>labels</dt>
<dd>Indicates whether or not labels (row names) should be showned on the plot.</dd>
<dt>ellipses</dt>
<dd>Indicates whether or not ellipses should be drawned around clusters.</dd>
<dt>legend</dt>
<dd>Indicates where the legend is placed on the graphics.</dd>
<dt>...</dt>
<dd>Other parameters.</dd></dl>

Arguments

Clustering Scatter Plots — scatterplot

<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 (<code>vector</code> or <code>factor</code>).</dd>


<dt>centers</dt>
<dd>Coordinates of the cluster centers.</dd>


<dt>labels</dt>
<dd>Indicates whether or not labels (row names) should be showned on the plot.</dd>


<dt>ellipses</dt>
<dd>Indicates whether or not ellipses should be drawned around clusters.</dd>


<dt>legend</dt>
<dd>Indicates where the legend is placed on the graphics.</dd>


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

</dl>

scatterplot: Clustering Scatter Plots

Description

Usage

Arguments

Examples