plot.mcaps: Plots results of multiple clustering strategies

In fdacluster: Joint Clustering and Alignment of Functional Data

Plots results of multiple clustering strategies

Description

This is an S3 method implementation of the graphics::plot() generic for objects of class mcaps to visualize the performances of multiple caps objects applied on the same data sets either in terms of WSS or in terms of silhouette values.

Usage

## S3 method for class 'mcaps'
plot(
  x,
  validation_criterion = c("wss", "silhouette"),
  what = c("mean", "distribution"),
  ...
)

Arguments

x	An object of class mcaps.
validation_criterion	A string specifying the validation criterion to be used for the comparison. Choices are "wss" or "silhouette". Defaults to "wss".
what	A string specifying the kind of information to display about the validation criterion. Choices are "mean" (which plots the mean values) or "distribution" (which plots the boxplots). Defaults to "mean".
...	Other arguments passed to specific methods.

Examples

plot(sim30_mcaps)

fdacluster documentation built on July 9, 2023, 6:45 p.m.