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FADPclust
View on CRAN: Click
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Download and install FADPclust package within the R console
Install from CRAN:
install.packages("FADPclust")
Install from Github:
library("remotes")
install_github("cran/FADPclust")
Install by package version:
library("remotes")
install_version("FADPclust", "1.1.1")
Attach the package and use:
library("FADPclust")
Maintained by
Rui Ren
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-08
Latest Update: 2022-11-07
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) ; Xiao-Feng Wang and Yifan Xu (2016) ).
How to cite:
Rui Ren (2021). FADPclust: Functional Data Clustering Using Adaptive Density Peak Detection. R package version 1.1.1, https://cran.r-project.org/web/packages/FADPclust. Accessed 22 Dec. 2024.
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imports, suggests or enhances
Complete documentation for FADPclust
Functions, R codes and Examples using
the FADPclust R package
Some associated functions: FADPclust . FADPplot . FADPsummary . simData1 . simData2 .
Some associated R codes: FADPclust.R . FADPplot.R . FADPsummary.R . simData1.R . simData2.R . Full FADPclust package functions and examples
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