explore__tidy_series

This helper will create the data frame used to plot in the Explore tab panel

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

explore__tidy_series function

<dl><dt>series</dt>
<dd>The list of time series</dd></dl>

Arguments

This helper will create the data frame used to plot in the Explore tab panel — explore__tidy_series

<dl>

<dt>series</dt>
<dd>The list of time series</dd>

</dl>

explore__tidy_series: This helper will create the data frame used to plot in the Explore tab panel

Description

Usage

Value

Arguments