Package: FADPclust 1.1.1

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]