Package: CircularSilhouette
Type: Package
Title: Fast Silhouette on Circular or Linear Data Clusters
Version: 0.0.1
Date: 2022-04-22
Authors@R: 
  c(person("Yinong", "Chen", role = "aut", 
	         comment = c(ORCID = "0000-0003-1641-1712")),
	  person("Tathagata", "Debnath", role = "aut", 
	         comment = c(ORCID = "0000-0001-6445-275X")),
	  person("Andrew", "Cai", role = "aut",
           comment = c(ORCID = "")),
    person("Joe", "Song", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6883-6547"),
		       email = "joemsong@cs.nmsu.edu"))
Author: Yinong Chen [aut] (<https://orcid.org/0000-0003-1641-1712>),
  Tathagata Debnath [aut] (<https://orcid.org/0000-0001-6445-275X>),
  Andrew Cai [aut],
  Joe Song [aut, cre] (<https://orcid.org/0000-0002-6883-6547>)
Maintainer: Joe Song <joemsong@cs.nmsu.edu>
Description: Calculating silhouette information for clusters on
 circular or linear data using fast algorithms. These algorithms run in
 linear time on sorted data, in contrast to quadratic time by the
 definition of silhouette. When used together with the fast and optimal
 circular clustering method FOCC (Debnath & Song 2021)
 <doi:10.1109/TCBB.2021.3077573> implemented in R package 'OptCirClust',
 circular silhouette can be maximized to find the optimal number of
 circular clusters; it can also be used to estimate the period of noisy
 periodical data.
VignetteBuilder: knitr
License: LGPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.1.2
Imports: OptCirClust, Rcpp (>= 1.0.7), Rdpack
Suggests: cluster, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0),
        graphics
LinkingTo: Rcpp
NeedsCompilation: yes
RdMacros: Rdpack
Config/testthat/edition: 3
Packaged: 2022-04-22 19:38:16 UTC; joesong
Repository: CRAN
Date/Publication: 2022-04-27 07:40:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-25 18:44:16 UTC; unix
Archs: CircularSilhouette.so.dSYM
