Functional Data Clustering Using Adaptive Density Peak Detection R package FADPclust version 1.1.1 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>). Software Depends: R (>= 3.5.0) Imports: MFPCA, cluster, fpc, fda, fda.usc, funData, stats, graphics Rui Ren <xmurr@stu.xmu.edu.cn> Comprehensive R Archive Network (CRAN) Rui Ren [aut, cre], Kuangnan Fang [aut], Qingzhao Zhang [aut], Xiaofeng Wang [aut] GPL (>= 2) 2022-11-07 application/tgz https://CRAN.R-project.org/package=FADPclust doi:10.32614/CRAN.package.FADPclust