funcslustVI: Generates cluster assignments and related information given...

In jewelltaylor/funclustVI: Cluster Functional Data using Variational Inference

Generates cluster assignments and related information given functional data.

Description

Generates cluster assignments and related information given functional data.

Usage

funcslustVI(
  x,
  Y,
  K,
  true_cluster_assignments,
  init,
  nbasis,
  convergence_threshold,
  max_iterations,
  gamma_dist_config_matrix,
  verbose,
  draw,
  plot_params
)

Arguments

x	The dependent variable
Y	A matrix in which the rows represent the curves
K	The number of clusters in the data
true_cluster_assignments	The true cluster assignments
init	The initialization method for the algorithim
nbasis	The number of basis functions
convergence_threshold	The threshold that determines when the model has converged
max_iterations	The maximum amount of iterations for the algorithim
gamma_dist_config_matrix	A matrix where the rows are the alpha and parameters for each cluster
verbose	A boolean indicating whether or not to print the inner parameters of the model
draw	Parameter that determines whether or not to plot the real vs estimated curves after fitting the model
plot_params	List of parameters corresponding to characteristics of the plot. Must include vectors xlim and ylim corresponding to the x and y limits of the plot.

Value

A list with entries containing varius information about the fitted model

Examples

fit(x, Y, K, true_cluster_assignments, init, nbasis, convergence_threshold, gamma_dist_config_matrix, verbose, draw, plot_params)

jewelltaylor/funclustVI documentation built on June 1, 2022, 12:30 p.m.