Package: FADPclust
Type: Package
Title: Functional Data Clustering Using Adaptive Density Peak Detection
Version: 1.1.1
Authors@R: c(person("Rui", "Ren", role=c("aut", "cre"),
             email = "xmurr@stu.xmu.edu.cn"),
             person("Kuangnan", "Fang", role=c("aut")),
             person("Qingzhao", "Zhang", role=c("aut")),
             person("Xiaofeng", "Wang", role=c("aut")))
Maintainer: Rui Ren <xmurr@stu.xmu.edu.cn>
Description: An implementation of a clustering algorithm for functional data based on adaptive density peak detection technique, in which the density is estimated by functional k-nearest neighbor density estimation based on a proposed semi-metric between functions. The proposed functional data clustering algorithm is computationally fast since it does not need iterative process. (Alex Rodriguez and Alessandro Laio (2014) <doi:10.1126/science.1242072>; Xiao-Feng Wang and Yifan Xu (2016) <doi:10.1177/0962280215609948>).
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: MFPCA, cluster, fpc, fda, fda.usc, funData, stats, graphics
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2022-11-05 13:14:01 UTC; renrui
Author: Rui Ren [aut, cre],
  Kuangnan Fang [aut],
  Qingzhao Zhang [aut],
  Xiaofeng Wang [aut]
Repository: CRAN
Date/Publication: 2022-11-07 14:10:02 UTC
Built: R 4.6.0; ; 2026-04-30 11:05:38 UTC; unix
