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A trainable clustering algorithm based on shortest paths from density peaks

Clustering is a technique to analyze empirical data, with a major application for biomedical research. Essentially, clustering finds groups of related points in a dataset. However, results depend on both metrics for point-to-point similarity and rules for point-to-group association. Non-appropriate...

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Detalles Bibliográficos
Autores principales: Pizzagalli, Diego Ulisse, Gonzalez, Santiago Fernandez, Krause, Rolf
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/PMC7051829/
https://www.ncbi.nlm.nih.gov/pubmed/32195334
http://dx.doi.org/10.1126/sciadv.aax3770