Package: ddc
Type: Package
Title: Distance Density Clustering Algorithm
Version: 1.0.1
Date: 2022-12-13
Authors@R: c(person("Ruizhe", "Ma", email = "maruizhe.cs@gmail.com", role = c("cre", "aut")), person("Bing", "Jiang", email = "bingjiang1985@gmail.com", role = "aut"))
Maintainer: Ruizhe Ma <maruizhe.cs@gmail.com>
Description: A distance density clustering (DDC) algorithm in R. DDC
        uses dynamic time warping (DTW) to compute a similarity matrix,
        based on which cluster centers and cluster assignments are
        found. DDC inherits dynamic time warping (DTW) arguments and
        constraints. The cluster centers are centroid points that are
        calculated using the DTW Barycenter Averaging (DBA) algorithm.
        The clustering process is divisive. At each iteration, cluster
        centers are updated and data is reassigned to cluster centers.
        Early stopping is possible. The output includes cluster centers
        and clustering assignment, as described in the paper (Ma et al
        (2017) <doi:10.1109/ICDMW.2017.11>).
License: GPL (>= 2)
Depends: R (>= 4.2)
Imports: dtw (>= 1.22), dtwclust (>= 5.5), parallel (>= 4.2), magrittr
        (>= 2.0), utils
RoxygenNote: 7.2.1
Encoding: UTF-8
ByteCompile: yes
BuildResaveData: no
NeedsCompilation: yes
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Language: en-US
Config/testthat/edition: 3
VignetteBuilder: knitr
Packaged: 2026-07-08 07:56:33 UTC; root
Author: Ruizhe Ma [cre, aut], Bing Jiang [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2022-12-14 11:00:05 UTC
RemoteUrl: https://github.com/cran/ddc
RemoteRef: HEAD
RemoteSha: 4162c3e80eb994488e0861aafebd995b0ac77d9d