explore__tidy_series

series

<p>This helper will create the data frame used to plot in the Explore tab panel</p>

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

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

Description

Usage

Arguments

Value