SparseDistmat-class

SparseDistmat

Reference class that is used internally for PAM centroids when <code>pam.precompute = FALSE</code> and
<code>pam.sparse = TRUE</code>. It allows for mutable state. It contains Distmat.

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

SparseDistmat-class function

<dl>
<dt><code>distmat</code></dt>
<dd>The sparse matrix.</dd></dl>
<dt><code>symmetric</code></dt>
<dd>Logical indicating if the matrix is symmetric.</dd>
<dt><code>distmat_indices</code></dt>
<dd>External pointer (C++ class) with the indices of existing values within
the matrix, and the method to update them.</dd>

Fields

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

Methods

Sparse distance matrix — SparseDistmat-class

<dl>
<dt><code>distmat</code></dt>
<dd>The sparse matrix.</dd>


<dt><code>symmetric</code></dt>
<dd>Logical indicating if the matrix is symmetric.</dd>


<dt><code>distmat_indices</code></dt>
<dd>External pointer (C++ class) with the indices of existing values within
the matrix, and the method to update them.</dd>


</dl>

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


</dl>

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SparseDistmat-class: Sparse distance matrix

Description

Arguments

Fields

Methods