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Accurate Estimation of the Intrinsic Dimension Using Graph Distances: Unraveling the Geometric Complexity of Datasets

The collective behavior of a large number of degrees of freedom can be often described by a handful of variables. This observation justifies the use of dimensionality reduction approaches to model complex systems and motivates the search for a small set of relevant “collective” variables. Here, we a...

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Detalles Bibliográficos
Autores principales: Granata, Daniele, Carnevale, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980871/
https://www.ncbi.nlm.nih.gov/pubmed/27510265
http://dx.doi.org/10.1038/srep31377