asardaes/dtwclust: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Version 5.0.0.9000

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. Implementations of DTW barycenter averaging and a distance based on global alignment kernels are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included.

Getting started

Package details

AuthorAlexis Sarda-Espinosa
MaintainerAlexis Sarda <[email protected]>
LicenseGPL-3
Version5.0.0.9000
URL https://github.com/asardaes/dtwclust
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("asardaes/dtwclust")
asardaes/dtwclust documentation built on Dec. 18, 2017, 5:48 a.m.