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dtwclust (version 1.3.0)

Time Series Clustering with Dynamic Time Warping

Description

Time series clustering using different techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Additionally, an implementation of k-Shape clustering is available.

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Install

install.packages('dtwclust')

Monthly Downloads

3,683

Version

1.3.0

License

GPL-3

Issues

3

Pull Requests

0

Stars

261

Forks

29

Maintainer

Alexis Sarda

Last Published

December 11th, 2015

Functions in dtwclust (1.3.0)

lb_improved

Lemire's improved DTW lower bound
dtwclust-class

Class definition for dtwclust
dtw_lb

DTW calculation guided by Lemire's lower bound (LB_Improved)
reinterpolate

Wrapper for simple linear reinterpolation
DBA

DTW Barycenter Averaging
dtwclust

Time series clustering under DTW
uciCT

Subset of character trajectories data set
lb_keogh

Keogh's DTW lower bound
zscore

Wrapper for z-normalization
NCCc

Cross-correlation with coefficient normalization
dtwclust-package

Time series clustering under Dynamic Time Warping (DTW) distance.
TADPole

TADPole clustering
shape_extraction

Shape average of several time series
plot-dtwclust

Plot the result of dtwclust
SBD

Shape-based distance