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Localized Centering: Reducing Hubness in Large-Sample Data
Author(s) -
Kazuo Hara,
Ikumi Suzuki,
Masashi Shimbo,
Kei Kobayashi,
Kenji Fukumizu,
Miloš Radovanović
Publication year - 2015
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v29i1.9629
Subject(s) - sample (material) , computer science , reduction (mathematics) , space (punctuation) , extension (predicate logic) , k nearest neighbors algorithm , algorithm , artificial intelligence , physics , mathematics , geometry , thermodynamics , programming language , operating system

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