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Semblance: An empirical similarity kernel on probability spaces

In data science, determining proximity between observations is critical to many downstream analyses such as clustering, classification, and prediction. However, when the data’s underlying probability distribution is unclear, the function used to compute similarity between data points is often arbitr...

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Detalles Bibliográficos
Autores principales: Agarwal, Divyansh, Zhang, Nancy R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892634/
https://www.ncbi.nlm.nih.gov/pubmed/31840051
http://dx.doi.org/10.1126/sciadv.aau9630