intRinsic

swMATH37515CRANintRinsicMaRDI QIDQ53216

Likelihood-Based Intrinsic Dimension Estimators

Andrea Gilardi, Francesco D'Angelo

Last update: 15 January 2024

Copyright license: MIT license, File License

Software version identifier: 1.0.0, 1.0.1, 0.2.0, 0.2.1, 0.2.2, 1.0.2

Description

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>).

Cites work

• intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset
• Data segmentation based on the local intrinsic dimension
• The generalized ratios intrinsic dimension estimator
• Estimating the intrinsic dimension of datasets by a minimal neighborhood information

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