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dtwclust (version 1.2.0)

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

3,233

Version

1.2.0

License

GPL-3

Issues

3

Pull Requests

0

Stars

262

Forks

29

Maintainer

Alexis Sarda

Last Published

November 15th, 2015

Functions in dtwclust (1.2.0)

NCCc

Cross-correlation with coefficient normalization
TADPole

TADPole clustering
SBD

Shape-based distance
lb_improved

Lemire's improved DTW lower bound
shape_extraction

Shape average of several time series
dtwclust-class

Class definition for dtwclust
uciCT

Subset of character trajectories data set
dtwclust-package

Time series clustering under Dynamic Time Warping (DTW) distance.
plot-dtwclust

Plot the result of dtwclust
zscore

Wrapper for z-normalization
reinterpolate

Wrapper for simple linear reinterpolation
DBA

DTW Barycenter Averaging
dtw_lb

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

Keogh's DTW lower bound
dtwclust

Time series clustering under DTW