pairs,kcca-method

pairs,kccasimple-method

Plot a matrix of neighbourhood graphs.

methods

hplot

pairs-methods

The main function kcca implements a general framework for
k-centroids cluster analysis supporting arbitrary distance measures
and centroid computation. Further cluster methods include hard
competitive learning, neural gas, and QT clustering. There are
numerous visualization methods for cluster results (neighborhood
graphs, convex cluster hulls, barcharts of centroids, ...), and
bootstrap methods for the analysis of cluster stability.

Bettina Gruen

flexclust

Flexible Cluster Algorithms

Friedrich Leisch

Evgenia Dimitriadou

Lena Ortega Menjivar

Dominik Ernst

Bettina Grün

pairs-methods function

<dl> <dt>x</dt>
<dd>An object of class <code>"kcca"</code></dd> <dt>which</dt>
<dd>Index numbers of dimensions of (projected) input space
 to plot, default is to plot all dimensions.</dd> <dt>project</dt>
<dd>Projection object for which a <code>predict</code> method
 exists, e.g., the result of <code><a href="/link/prcomp?package=flexclust&version=1.5.0" data-mini-rdoc="flexclust::prcomp">prcomp</a></code>.</dd> <dt>oma</dt>
<dd>Outer margin.</dd> <dt>...</dt>
<dd>Passed to the <code>plot</code> method.</dd></dl>

Arguments

Author

Methods for Function pairs in Package `flexclust' — pairs-methods

<dl>

 <dt>x</dt>
<dd>An object of class <code>"kcca"</code></dd>

 <dt>which</dt>
<dd>Index numbers of dimensions of (projected) input space
 to plot, default is to plot all dimensions.</dd>

 <dt>project</dt>
<dd>Projection object for which a <code>predict</code> method
 exists, e.g., the result of <code><a href='https://rdrr.io/r/stats/prcomp.html'>prcomp</a></code>.</dd>

 <dt>oma</dt>
<dd>Outer margin.</dd>

 <dt>...</dt>
<dd>Passed to the <code>plot</code> method.</dd>

</dl>

Methods for Function pairs in Package `flexclust'

pairs-methods: Methods for Function pairs in Package `flexclust'

Description

Usage

Arguments

Author

Details