Distmat-class

Distmat

Reference class that is used internally for cross-distance matrices.

internal

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

Distmat-class function

<dl>
<dt><code>distmat</code></dt>
<dd>A distance matrix.</dd></dl>
<dt><code>series</code></dt>
<dd>Time series list.</dd>
<dt><code>distfun</code></dt>
<dd>The distance function to calculate the distance matrix.</dd>
<dt><code>dist_args</code></dt>
<dd>Arguments for the distance function.</dd>
<dt><code>id_cent</code></dt>
<dd>Indices of the centroids (if any).</dd>

Fields

<dl>
<dt><code>initialize(..., distmat, series, distance, control, error.check = TRUE)</code></dt>
<dd>Initialization based on needed parameters</dd></dl>

Methods

Distance matrix — Distmat-class

<dl>
<dt><code>distmat</code></dt>
<dd>A distance matrix.</dd>


<dt><code>series</code></dt>
<dd>Time series list.</dd>


<dt><code>distfun</code></dt>
<dd>The distance function to calculate the distance matrix.</dd>


<dt><code>dist_args</code></dt>
<dd>Arguments for the distance function.</dd>


<dt><code>id_cent</code></dt>
<dd>Indices of the centroids (if any).</dd>


</dl>

<dl>
<dt><code>initialize(..., distmat, series, distance, control, error.check = TRUE)</code></dt>
<dd>Initialization based on needed parameters</dd>


</dl>

Distmat-class: Distance matrix

Description

Arguments

Fields

Methods