simData1

<p>Simulated univariate functional data, with 2 clusters each containing 100 sample curves, were for users to apply the method FADPclust.</p>

datasets

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>).

Rui Ren

FADPclust

Functional Data Clustering Using Adaptive Density Peak Detection

Kuangnan Fang

Qingzhao Zhang

Xiaofeng Wang

simData1 function

<p>fd, see FDA R package for details.</p>

Format

Simulated univariate functional data for method FADPclust — simData1

Simulated univariate functional data for method FADPclust

simData1: Simulated univariate functional data for method FADPclust

Description

Arguments

Format