Cargando…
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation
Dealing with uncertainty in applications of machine learning to real-life data critically depends on the knowledge of intrinsic dimensionality (ID). A number of methods have been suggested for the purpose of estimating ID, but no standard package to easily apply them one by one or all at once has be...
Autores principales: | Bac, Jonathan, Mirkes, Evgeny M., Gorban, Alexander N., Tyukin, Ivan, Zinovyev, Andrei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534554/ https://www.ncbi.nlm.nih.gov/pubmed/34682092 http://dx.doi.org/10.3390/e23101368 |
Ejemplares similares
-
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph
por: Albergante, Luca, et al.
Publicado: (2020) -
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data
por: Mirkes, Evgeny M., et al.
Publicado: (2022) -
Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data
por: Golovenkin, Sergey E, et al.
Publicado: (2020) -
scikit-image: image processing in Python
por: van der Walt, Stéfan, et al.
Publicado: (2014) -
Principal Manifolds for Data Visualization and Dimension Reduction
por: Gorban, A N, et al.
Publicado: (2007)