Nothing
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>).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Rui Ren [aut, cre], Kuangnan Fang [aut], Qingzhao Zhang [aut], Xiaofeng Wang [aut] |
| Maintainer | Rui Ren <xmurr@stu.xmu.edu.cn> |
| License | GPL (>= 2) |
| Version | 1.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the FADPclust package in your browser
Any scripts or data that you put into this service are public.
