Distmat-generics

[,Distmat,ANY,ANY,ANY-method

[,Distmat,ANY,ANY,ANY

A <a href="/link/?package=dtwclust&version=5.5.9" distmat'="" data-mini-rdoc="dtwclust::"></a>'>Distmat object.

Logical to drop dimensions after subsetting.

drop

Generics with methods for <a href="/link/?package=dtwclust&version=5.5.9" distmat'="" data-mini-rdoc="dtwclust::"></a>'>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

Distmat-generics function

A <a href='<a href='Distmat'></a>'>Distmat</a> object.

Generics with methods for <a href='<a href='Distmat'></a>'>Distmat</a>.

Distmat-generics: Generics for `Distmat`

Description

Usage

Arguments

Details