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gnu: Add r-dtwclust.
* gnu/packages/cran.scm (r-dtwclust): New variable. Change-Id: I411d25b5df8f9bf923e60602901105a612c42fe9 Signed-off-by: Andreas Enge <andreas@enge.fr>
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@ -10972,6 +10972,55 @@ (define-public r-ips
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phylogenies and ancestral character states.")
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(license license:gpl3)))
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(define-public r-dtwclust
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(package
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(name "r-dtwclust")
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(version "6.0.0")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "dtwclust" version))
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(sha256
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(base32 "0by01x4qpf1pin5l61wmm600bmsnlnns9knwb0qmjlj72pmwfkqh"))))
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(properties `((upstream-name . "dtwclust")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-clue
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r-cluster
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r-dplyr
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r-dtw
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r-flexclust
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r-foreach
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r-ggplot2
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r-ggrepel
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r-matrix
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r-proxy
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r-rcpp
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r-rcpparmadillo
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r-rcppparallel
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r-rcppthread
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r-reshape2
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r-rlang
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r-rspectra
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r-shiny
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r-shinyjs))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/asardaes/dtwclust")
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(synopsis
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"Clustering time series with dynamic time warping distance optimization")
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(description
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"This package implements time series clustering along with optimized
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techniques related to the dynamic time warping distance and its corresponding
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lower bounds. The implementations of partitional, hierarchical, fuzzy, k-Shape
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and TADPole clustering are available. Functionality can be easily extended with
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custom distance measures and centroid definitions. Implementations of @acronym{
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DTW, dynamic time warping} barycenter averaging, a distance based on global
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alignment kernels, and the soft-DTW distance and centroid routines are also
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provided. All included distance functions have custom loops optimized for the
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calculation of cross-distance matrices, including parallelization support.
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Several cluster validity indices are included.")
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(license license:gpl3)))
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(define-public r-dtw
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(package
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(name "r-dtw")
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