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dtwclust (version 2.1.0)

Time Series Clustering with Optimizations for the Dynamic Time Warping Distance

Description

Time series clustering with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of k-Shape, TADPole and fuzzy clustering are available. The functionality can be easily extended with custom distance measures and centroid definitions.

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Install

install.packages('dtwclust')

Monthly Downloads

3,544

Version

2.1.0

License

GPL-3

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Repository

https://github.com/asardaes/dtwclust

Maintainer

Alexis Sarda

Last Published

February 21st, 2016

Functions in dtwclust (2.1.0)

Shape-based distance

Cluster Similarity Matrix

Class definition for dtwclust

shape_extraction

Shape average of several time series

Wrapper for z-normalization

Subset of character trajectories data set

Time series clustering

Cross-correlation with coefficient normalization

Keogh's DTW lower bound

DTW calculation guided by Lemire's lower bounds

Wrapper for simple linear reinterpolation

TADPole clustering

dtwclustControl-class

Class definition for dtwclustControl

DTW Barycenter Averaging

dtwclust-methods

Methods for dtwclust

Compare partitions

Lemire's improved DTW lower bound

dtwclust-package

Time series clustering with optimizations for the Dynamic Time Warping distance

dtwclustFamily-class

Class definition for dtwclustFamily