autoplot.mcaps

This is an S3 method implementation of the <code><a href="https://ggplot2.tidyverse.org/reference/autoplot.html">ggplot2::autoplot()</a></code> generic
for objects of class <code>mcaps</code> to visualize the performances of multiple
<code>caps</code> objects applied on the same data sets either in terms of WSS or in
terms of silhouette values.

Implementations of the k-means, hierarchical agglomerative and
DBSCAN clustering methods for functional data which allows for jointly
aligning and clustering curves. It supports functional data defined on
one-dimensional domains but possibly evaluating in multivariate codomains.
It supports functional data defined in arrays but also via the 'fd' and
'funData' classes for functional data defined in the 'fda' and 'funData'
packages respectively. It currently supports shift, dilation and affine
warping functions for functional data defined on the real line and uses the
SRVF framework to handle boundary-preserving warping for functional data
defined on a specific interval. Main reference for the k-means algorithm:
Sangalli L.M., Secchi P., Vantini S., Vitelli V. (2010) "k-mean alignment
for curve clustering" <doi:10.1016/j.csda.2009.12.008>. Main reference for
the SRVF framework: Tucker, J. D., Wu, W., & Srivastava, A. (2013)
"Generative models for functional data using phase and amplitude separation"
<doi:10.1016/j.csda.2012.12.001>.

Aymeric Stamm

fdacluster

Joint Clustering and Alignment of Functional Data

Laura Sangalli

Piercesare Secchi

Simone Vantini

Valeria Vitelli

Alessandro Zito

autoplot.mcaps function

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

Arguments

This is an S3 method implementation of the <code><a href='https://ggplot2.tidyverse.org/reference/autoplot.html'>ggplot2::autoplot()</a></code> generic
for objects of class <code>mcaps</code> to visualize the performances of multiple
<code>caps</code> objects applied on the same data sets either in terms of WSS or in
terms of silhouette values.

Visualizes results of multiple clustering strategies using ggplot2 — autoplot.mcaps

<dl>

<dt>object</dt>
<dd>An object of class <code>mcaps</code>.</dd>


<dt>validation_criterion</dt>
<dd>A string specifying the validation criterion to
be used for the comparison. Choices are <code>"wss"</code> or <code>"silhouette"</code>. Defaults
to <code>"wss"</code>.</dd>


<dt>what</dt>
<dd>A string specifying the kind of information to display about the
validation criterion. Choices are <code>"mean"</code> (which plots the mean values) or
<code>"distribution"</code> (which plots the boxplots). Defaults to <code>"mean"</code>.</dd>


<dt>...</dt>
<dd>Other arguments passed to specific methods.</dd>

</dl>

autoplot.mcaps: Visualizes results of multiple clustering strategies using ggplot2

Description

Usage

Value

Arguments

Examples