Function reference • fdacluster

The caps class

as_caps() is_caps(): Class for clustering with amplitude and phase separation

autoplot(<caps>): Visualizes the result of a clustering strategy stored in a caps object with ggplot2

plot(<caps>): Plots the result of a clustering strategy stored in a caps object

diagnostic_plot(): Diagnostic plot for the result of a clustering strategy stored in a caps object

Clustering methods

fdadist(): Computes the distance matrix for functional data with amplitude and phase separation

fdadbscan(): Performs density-based clustering for functional data with amplitude and phase separation

fdahclust(): Performs hierarchical clustering for functional data with amplitude and phase separation

fdakmeans(): Performs k-means clustering for functional data with amplitude and phase separation

Clustering comparison

compare_caps(): Generates results of multiple clustering strategies

autoplot(<mcaps>): Visualizes results of multiple clustering strategies using ggplot2

plot(<mcaps>): Plots results of multiple clustering strategies

Data sets

simulated30: Simulated data for examples

simulated30_sub: Simulated data for examples

simulated90: Simulated data from the CSDA paper

sim30_caps: A caps object from simulated data for examples

sim30_mcaps: An mcaps object from simulated data for examples