Package: dtwclust
Type: Package
Title: Time Series Clustering Along with Optimizations for the Dynamic
        Time Warping Distance
Version: 3.1.2
Date: 2017-04-01
Depends: R (>= 3.2.0), proxy (>= 0.4-16), clue, dtw, ggplot2
Imports: methods, parallel, stats, utils, caTools, flexclust, foreach,
        Rcpp, reshape2, rngtools
Suggests: TSdist, TSclust, cluster, doParallel, testthat, knitr
LinkingTo: Rcpp
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>
Description: 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.
URL: https://github.com/asardaes/dtwclust
BugReports: https://github.com/asardaes/dtwclust/issues
License: GPL-3
LazyData: TRUE
NeedsCompilation: yes
RoxygenNote: 6.0.1
Collate: 'DBA.R' 'GAK.R' 'NCCc.R' 'SBD.R' 'TADPole.R' 'all-cent.R'
        'all-cent2.R' 'compute-envelop.R' 'create-dtwclust.R' 'cvi.R'
        'ddist.R' 'ddist2.R' 'dtw-basic.R' 'dtw-lb.R' 'dtw2.R'
        'dtwclust-classes.R' 'dtwclust-methods.R' 'dtwclust.R'
        'fuzzy.R' 'lb-improved.R' 'lb-keogh.R' 'partitional.R'
        'utils.R' 'pkg.R' 'reinterpolate.R' 'shape-extraction.R'
        'tsclust-classes.R' 'tsclust-controls.R' 'tsclust-methods.R'
        'tsclust.R' 'uciCT.R' 'zscore.R'
VignetteBuilder: knitr
Packaged: 2017-04-01 12:10:23 UTC; oso
Repository: CRAN
Date/Publication: 2017-04-01 13:08:15 UTC
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:22:47 UTC; windows
Archs: i386, x64
