Learn R Programming

⚠️There's a newer version (6.0.0) of this package.Take me there.

dtwclust (version 3.1.0)

Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance

Description

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.

Copy Link

Version

Install

install.packages('dtwclust')

Monthly Downloads

3,757

Version

3.1.0

License

GPL-3

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/asardaes/dtwclust

Maintainer

Alexis Sarda

Last Published

January 8th, 2017

Functions in dtwclust (3.1.0)

Cluster Similarity Matrix

create_dtwclust

Create formal dtwclust objects

Basic DTW distance

compute_envelop

Time series warping envelops

DTW Barycenter Averaging

Cluster validity indices

dtwclust-methods

Methods for dtwclust

DTW distance matrix guided by Lemire's improved lower bound

DTW distance with L2 norm

Compare partitions

Wrapper for simple linear reinterpolation

Shape-based distance

Keogh's DTW lower bound

shape_extraction

Shape average of several time series

Cross-correlation with coefficient normalization

Fast global alignment kernels

dtwclust-package

Time series clustering along with optimizations for the Dynamic Time Warping distance

Lemire's improved DTW lower bound

Time series clustering

Subset of character trajectories data set

Wrapper for z-normalization