dtwclust (4.0.0)

Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance.


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.

Maintainer: Alexis Sarda
Author(s): Alexis Sarda-Espinosa

License: GPL-3

Uses: clue, dtw, flexclust, foreach, ggplot2, Matrix, plyr, proxy, Rcpp, reshape2, rngtools, RSpectra, cluster, testthat, doParallel, knitr, TSclust, TSdist
Reverse suggests: IncDTW

Released over 2 years ago.