Swissroll

The function creates a three-dimensional dataset with coordinates
following the Swiss roll mapping, transforming random uniform data points
sampled on the interval <code>(0,10)</code>.

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

Swissroll function

<dl><dt>n</dt>
<dd>number of observations contained in the output dataset.</dd></dl>

Arguments

Generates a noise-free Swiss roll dataset — Swissroll

<dl>

<dt>n</dt>
<dd>number of observations contained in the output dataset.</dd>

</dl>

Swissroll: Generates a noise-free Swiss roll dataset

Description

Usage

Value

Arguments

Examples