as.matrix

proxy exported a non-generic <code>as.matrix</code> function. This is to re-export the base version
and add coercion methods for <code>pairdist</code> and <code>crossdist</code>.

Time series clustering along with optimized techniques related
to the Dynamic Time Warping distance and its corresponding lower bounds.
Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole
clustering are available. Functionality can be easily extended with
custom distance measures and centroid definitions. Implementations of
DTW barycenter averaging, a distance based on global alignment kernels,
and the soft-DTW distance and centroid routines are also provided.
All included distance functions have custom loops optimized for the
calculation of cross-distance matrices, including parallelization support.
Several cluster validity indices are included.

Alexis Sarda

dtwclust

Time Series Clustering Along with Optimizations for the Dynamic
Time Warping Distance

as.matrix function

<dl><dt>x, ...</dt>
<dd>See <code><a href="/link/base%3A%3Aas.matrix()?package=dtwclust&version=6.0.0" data-mini-rdoc="dtwclust::base::as.matrix()">base::as.matrix()</a></code>.</dd></dl>

Arguments

as.matrix — as.matrix

<dl>

<dt>x, ...</dt>
<dd>See <code><a href='https://rdrr.io/r/base/matrix.html'>base::as.matrix()</a></code>.</dd>

</dl>

as.matrix: as.matrix

Description

Usage

Arguments

See Also