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. Several cluster validity indices are included.
Version: | 4.0.2 |
Depends: | R (≥ 3.2.0), methods, proxy (≥ 0.4-16), clue, dtw, ggplot2 |
Imports: | parallel, stats, utils, bigmemory, flexclust, foreach, Matrix, plyr, RSpectra, Rcpp, reshape2, rngtools |
LinkingTo: | BH, bigmemory, Rcpp, RcppArmadillo |
Suggests: | TSdist, TSclust, cluster, doParallel, testthat, knitr |
Published: | 2017-07-09 |
Author: | Alexis Sarda-Espinosa |
Maintainer: | Alexis Sarda <alexis.sarda at gmail.com> |
BugReports: | https://github.com/asardaes/dtwclust/issues |
License: | GPL-3 |
URL: | https://github.com/asardaes/dtwclust |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Materials: | NEWS |
In views: | TimeSeries |
CRAN checks: | dtwclust results |
Reference manual: | dtwclust.pdf |
Vignettes: |
Comparing Time-Series Clustering Algorithms in R Using the dtwclust Package |
Package source: | dtwclust_4.0.2.tar.gz |
Windows binaries: | r-devel: dtwclust_4.0.2.zip, r-release: dtwclust_4.0.2.zip, r-oldrel: dtwclust_4.0.2.zip |
OS X El Capitan binaries: | r-release: dtwclust_4.0.2.tgz |
OS X Mavericks binaries: | r-oldrel: dtwclust_4.0.2.tgz |
Old sources: | dtwclust archive |
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