Package: OTclust
Title: Mean Partition, Uncertainty Assessment, Cluster Validation and
        Visualization Selection for Cluster Analysis
Version: 1.0.2
Authors@R: c(person("Lixiang", "Zhang", email = "lzz46@psu.edu", role = c("aut", "cre")),person("Beomseok", "Seo", email = "bzs32@psu.edu", role = "aut"),person("Lin", "Lin", email = "llin@psu.edu", role = "aut"),person("Jia", "Li", email = "jiali@psu.edu", role = "aut"))
Author: Lixiang Zhang [aut, cre],
  Beomseok Seo [aut],
  Lin Lin [aut],
  Jia Li [aut]
Maintainer: Lixiang Zhang <lzz46@psu.edu>
Description: Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures for both partition-wise and cluster-wise assessment and multiple visualization functions to show uncertainty, for instance, membership heat map and plot of covering point set. A partition refers to an overall clustering result.
Depends: R (>= 3.1.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, tsne, umap, HDclust, dbscan, flexclust,
        mclust
VignetteBuilder: knitr
LinkingTo: Rcpp
Imports: Rcpp, ggplot2, RColorBrewer, magrittr, class
NeedsCompilation: yes
Packaged: 2019-05-05 15:06:35 UTC; zhanglixiang
Repository: CRAN
Date/Publication: 2019-05-06 07:40:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 08:07:20 UTC; windows
Archs: i386, x64
