distmirr

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

distmirr function

<dl> <dt>dis</dt>
<dd>a distance structure as computed by <code><a href="/link/dist?package=klaR&version=1.7-3" data-mini-rdoc="klaR::dist">dist</a></code></dd></dl>

Arguments

Internal function to convert a distance structure to a matrix — distmirr

<dl>

 <dt>dis</dt>
<dd>a distance structure as computed by <code><a href='https://rdrr.io/r/stats/dist.html'>dist</a></code></dd>

</dl>

distmirr: Internal function to convert a distance structure to a matrix

Description

Usage

Value

Arguments

See Also