TopoS

<code>TopoS</code> computes one version of the criterion <code>stress</code> as i.e. 
 known from <code><a href="/link/sammon?package=klaR&version=1.7-3" data-mini-rdoc="klaR::sammon">sammon</a></code> for a given visualization.

internal

Miscellaneous functions for classification and visualization,
e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes,
an interface to 'svmlight' and stepclass() wrapper variable selection
for supervised classification, partimat() visualization of classification rules
and shardsplot() of cluster results as well as kmodes() clustering for categorical data,
corclust() variable clustering, variable extraction from different variable clustering models
and weight of evidence preprocessing.

Uwe Ligges

klaR

Classification and Visualization

TopoS function

<dl> <dt>EV.dist</dt>
<dd>a symmetric distance matrix consisting of distances in the origin space (<code>dx</code>)</dd> <dt>Cells.dist</dt>
<dd>a symmetric distance matrix consisting of distances in the target space (<code>dy</code>)</dd></dl>

Arguments

Author

<code>TopoS</code> computes one version of the criterion <code>stress</code> as i.e. 
 known from <code><a href='https://rdrr.io/pkg/MASS/man/sammon.html'>sammon</a></code> for a given visualization.

Computation of criterion S of a visualization — TopoS

<dl>

 <dt>EV.dist</dt>
<dd>a symmetric distance matrix consisting of distances in the origin space (<code>dx</code>)</dd>

 <dt>Cells.dist</dt>
<dd>a symmetric distance matrix consisting of distances in the target space (<code>dy</code>)</dd>

</dl>

TopoS: Computation of criterion S of a visualization

Description

Usage

Value

Arguments

Author

Details

See Also

Examples