Selecting promising classes from generated data for an efficient multi-class nearest neighbor classification
Crossref DOI link: https://doi.org/10.1007/s00500-016-2176-0
Published Online: 2016-05-06
Published Print: 2017-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Calvo-Zaragoza, Jorge
Valero-Mas, Jose J.
Rico-Juan, Juan R.
Funding for this research was provided by:
Ministerio de Educación, Cultura y Deporte (FPU12-0939)
Ministerio de EconomÃa y Competitividad (TIN2013-48152-C2-1-R)
Text and Data Mining valid from 2016-05-06