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Autor:
J. J. Miralles Canals, E. Arias Antúnez, M. M. Artigao Castillo, J.J. Águila Guerrero, I. Marín Carrión
Publikováno v:
Parallel Computing. 35:523-534
The False Nearest Neighbors (FNN) method is particularly relevant in different fields of science and engineering (medicine, economy, oceanography, biological systems, etc.). In some of these applications, it is important to give results within a reas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78be3cb4d2f4598d1977d9ef949b1de6
https://doi.org/10.1016/j.parco.2009.09.003
https://doi.org/10.1016/j.parco.2009.09.003
