DBSCAN

Run the DBSCAN algorithm for clustering.

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

DBSCAN function

<dl><dt>d</dt>
<dd>The dataset (<code>matrix</code> or <code>data.frame</code>).</dd>
<dt>minpts</dt>
<dd>Reachability minimum no. of points.</dd>
<dt>epsilonDist</dt>
<dd>Reachability distance.</dd>
<dt>...</dt>
<dd>Other parameters.</dd></dl>

Arguments

DBSCAN clustering method — DBSCAN

<dl>

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


<dt>minpts</dt>
<dd>Reachability minimum no. of points.</dd>


<dt>epsilonDist</dt>
<dd>Reachability distance.</dd>


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

</dl>

DBSCAN: DBSCAN clustering method

Description

Usage

Value

Arguments

See Also

Examples