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.

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

package-ubuntu-20.04-r-4.0.5#cran#dtwclust-5.5.10

<p><span class="pkg">proxy</span> 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>.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>x, ...</code></td>
<td>
<p>See <code><a href="../../base/html/matrix.html">base::as.matrix()</a></code>.</p>
</td>
</tr></table>

<p><code><a href="../../base/html/matrix.html">base::as.matrix()</a></code>
</p>

package-ubuntu-20.04-r-4.0.5#cran#dtwclust-5.5.10#docs#as.matrix

as.matrix

Description

Usage

Arguments

See Also

dtwclust

We don't support your browser anymore