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<html><head><title>R: Classes &ldquo;dist&rdquo;, &ldquo;ar_cross_dissimilarity&rdquo; and &ldquo;ar_similarity&rdquo; &mdash; Proximity Matrices</title>
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<table width="100%" summary="page for proximity-classes {arules}"><tr><td>proximity-classes {arules}</td><td align="right">R Documentation</td></tr></table>
<h2>Classes &ldquo;dist&rdquo;, &ldquo;ar_cross_dissimilarity&rdquo; and &ldquo;ar_similarity&rdquo; &mdash; Proximity Matrices</h2>


<h3>Description</h3>

<p>
Simple classes to represent proximity matrices.  For compatibility with
clustering functions in <code>R</code>, we represent dissimilarities as the
<code>S3</code> class <code>dist</code>.  For cross-dissimilarities and similarities, we
provide the <code>S4</code> classes <code>ar_cross_dissimilarities</code> and
<code>ar_similarities</code>.
</p>


<h3>Objects from the Class</h3>

<p>
<code>dist</code> objects are the result of calling the method 
<code><a href="dissimilarity.html">dissimilarity</a></code> with one argument or any <code>R</code> function
returning a <code>S3 dist</code> object.
</p>
<p>
<code>ar_cross_dissimilarity</code> objects are the result of calling the method
<code><a href="dissimilarity.html">dissimilarity</a></code> with two arguments, by  calls of the form
<code>new("similarity", ...)</code>, or by coercion from matrix.
</p>
<p>
<code>ar_similarity</code> objects are the result of calling the method
<code><a href="affinity.html">affinity</a></code>, by  calls of the form  <code>new("similarity", ...)</code>,
or by coercion from matrix.
</p>


<h3>Slots</h3>

<p>
The <code>S4</code> classes have a <code>method</code> slot which contains the
type of measure used for calculation.
</p>


<h3>See Also</h3>

<p>
<code><a href="../../stats/html/dist.html">dist</a></code> (in package <code>stats</code>),
<code><a href="dissimilarity.html">dissimilarity</a></code>,
<code><a href="affinity.html">affinity</a></code>.
</p>



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