intRinsic: Likelihood-Based Intrinsic Dimension Estimators
Francesco Denti, Andrea Gilardi · 2022
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, ); Allegra et al. (2020, ); Denti et al. (2022, ); Facco et al. (2017, ); Santos-Fernandez et al. (2021, ).