intRinsic

intRinsic-package

<img src="figures/logo.png?package=intRinsic&version=1.1.2" style="float: right" alt="logo" width="120">
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, tools:::Rd_expr_doi("10.18637/jss.v106.i09")); Allegra et al. (2020, tools:::Rd_expr_doi("10.1038/s41598-020-72222-0")); Denti et al. (2022, tools:::Rd_expr_doi("10.1038/s41598-022-20991-1")); Facco et al. (2017, tools:::Rd_expr_doi("10.1038/s41598-017-11873-y")); Santos-Fernandez et al. (2021, tools:::Rd_expr_doi("10.1038/s41598-022-20991-1")).

internal

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

Likelihood-Based Intrinsic Dimension Estimators

Andrea Gilardi

intRinsic-package function

Maintainer: Francesco Denti <a href="/link/francescodenti.personal%40gmail.com?package=intRinsic&version=1.1.2" data-mini-rdoc="intRinsic::francescodenti.personal@gmail.com">francescodenti.personal@gmail.com</a> (<a href="https://orcid.org/0000-0003-2978-4702">ORCID</a>) [copyright holder]
Authors:<ul>
<li>Andrea Gilardi <a href="/link/andrea.gilardi%40unimib.it?package=intRinsic&version=1.1.2" data-mini-rdoc="intRinsic::andrea.gilardi@unimib.it">andrea.gilardi@unimib.it</a> (<a href="https://orcid.org/0000-0002-9424-7439">ORCID</a>)</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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, tools:::Rd_expr_doi("10.18637/jss.v106.i09")); Allegra et al. (2020, tools:::Rd_expr_doi("10.1038/s41598-020-72222-0")); Denti et al. (2022, tools:::Rd_expr_doi("10.1038/s41598-022-20991-1")); Facco et al. (2017, tools:::Rd_expr_doi("10.1038/s41598-017-11873-y")); Santos-Fernandez et al. (2021, tools:::Rd_expr_doi("10.1038/s41598-022-20991-1")).

intRinsic: Likelihood-Based Intrinsic Dimension Estimators — intRinsic-package

Maintainer: Francesco Denti <a href='mailto:francescodenti.personal@gmail.com'>francescodenti.personal@gmail.com</a> (<a href='https://orcid.org/0000-0003-2978-4702'>ORCID</a>) [copyright holder]
Authors:<ul>
<li>Andrea Gilardi <a href='mailto:andrea.gilardi@unimib.it'>andrea.gilardi@unimib.it</a> (<a href='https://orcid.org/0000-0002-9424-7439'>ORCID</a>)</li>
</ul>

intRinsic-package: intRinsic: Likelihood-Based Intrinsic Dimension Estimators

Description

Arguments

Author

See Also