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dtwclust (version 1.0.0)

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

2,685

Version

1.0.0

License

GPL-3

Issues

0

Pull Requests

0

Stars

264

Forks

30

Maintainer

Alexis Sarda

Last Published

August 23rd, 2015

Functions in dtwclust (1.0.0)

SBD

Shape-based distance
dtwclust-package

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

Class definition for dtwclust
lb_keogh

Keogh's DTW lower bound
dtw_lb

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

TADPole clustering
NCCc

Cross-correlation with coefficient normalization
dtwclust

Time series clustering under DTW
reinterpolate

Wrapper for simple linear reinterpolation
lb_improved

Lemire's improved DTW lower bound
DBA

DTW Barycenter Averaging
zscore

Wrapper for z-normalization
plot-dtwclust

Plot the result of dtwclust
uciCT

Subset of character trajectories data set
shape_extraction

Shape average of several time series