autoplot.gride_evolution

Use this method without the <code>.gride_evolution</code> suffix.
It plots the evolution of the <code>id</code>
estimates as a function of the average distance from the furthest NN of
each point.

Provides functions to estimate the intrinsic dimension of a dataset
via likelihood-based approaches. Specifically, the package implements the
'TWO-NN' and 'Gride' estimators and the 'Hidalgo' Bayesian mixture model.
In addition, the first reference contains an extended vignette on the usage of
the 'TWO-NN' and 'Hidalgo' models. References:
Denti (2023, <doi:10.18637/jss.v106.i09>);
Allegra et al. (2020, <doi:10.1038/s41598-020-72222-0>);
Denti et al. (2022, <doi:10.1038/s41598-022-20991-1>);
Facco et al. (2017, <doi:10.1038/s41598-017-11873-y>);
Santos-Fernandez et al. (2021, <doi:10.1038/s41598-022-20991-1>).

Francesco Denti

intRinsic

Likelihood-Based Intrinsic Dimension Estimators

Andrea Gilardi

autoplot.gride_evolution function

<dl><dt>object</dt>
<dd>an object of class <code>gride_evolution</code>.</dd>
<dt>title</dt>
<dd>an optional string to customize the title of the plot.</dd>
<dt>...</dt>
<dd>other arguments passed to specific methods.</dd></dl>

Arguments

Plot the evolution of Gride estimates — autoplot.gride_evolution

<dl>

<dt>object</dt>
<dd>an object of class <code>gride_evolution</code>.</dd>


<dt>title</dt>
<dd>an optional string to customize the title of the plot.</dd>


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

</dl>

autoplot.gride_evolution: Plot the evolution of `Gride` estimates

Description

Usage

Value

Arguments