Package: FADPclust 1.1.1

Rui Ren

FADPclust: Functional Data Clustering Using Adaptive Density Peak Detection

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>).

Authors:Rui Ren [aut, cre], Kuangnan Fang [aut], Qingzhao Zhang [aut], Xiaofeng Wang [aut]

FADPclust_1.1.1.tar.gz
FADPclust_1.1.1.tar.gz(r-4.5-noble)FADPclust_1.1.1.tar.gz(r-4.4-noble)
FADPclust_1.1.1.tgz(r-4.4-emscripten)FADPclust_1.1.1.tgz(r-4.3-emscripten)
FADPclust.pdf |FADPclust.html✨
FADPclust/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 1 stars 0.00 score 73 dependencies 8 scripts 344 downloads

Last updated 2 years agofrom:0efe5255d8. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:FADPclustFADPplotFADPsummary

Dependencies:abindashbitopsclasscliclustercodetoolscolorspaceDEoptimRdeSolvediptestdoParalleldotCall64fansifarverfdafda.uscfdsfieldsflexmixFNNforeachfpcfunDataggplot2gluegtablehdrcdeirlbaisobanditeratorskernlabKernSmoothkskSampleslabelinglatticelifecyclelocfitmagrittrmapsMASSMatrixmclustMFPCAmgcvmodeltoolsmulticoolmunsellmvtnormnlmennetpcaPPpillarpkgconfigplyrprabcluspracmaR6rainbowRColorBrewerRcppRCurlrlangrobustbasescalesspamSuppDiststibbleutf8vctrsviridisLitewithr