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Data segmentation based on the local intrinsic dimension

One of the founding paradigms of machine learning is that a small number of variables is often sufficient to describe high-dimensional data. The minimum number of variables required is called the intrinsic dimension (ID) of the data. Contrary to common intuition, there are cases where the ID varies...

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Detalles Bibliográficos
Autores principales: Allegra, Michele, Facco, Elena, Denti, Francesco, Laio, Alessandro, Mira, Antonietta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536196/
https://www.ncbi.nlm.nih.gov/pubmed/33020515
http://dx.doi.org/10.1038/s41598-020-72222-0