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) ; Xiao-Feng Wang and Yifan Xu (2016) ).


Reference manual

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install.packages("FADPclust")

1.1.1 by Rui Ren, 4 years ago


Browse source code at https://github.com/cran/FADPclust


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


Documentation:   PDF Manual  


GPL (>= 2) license


Imports MFPCA, cluster, fpc, fda, fda.usc, funData, stats, graphics


See at CRAN