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Volumn , Issue , 2014, Pages 383-388
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Choosing the metric in high-dimensional spaces based on hub analysis
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Author keywords
[No Author keywords available]
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Indexed keywords
LEARNING SYSTEMS;
NEAREST NEIGHBOR SEARCH;
NEURAL NETWORKS;
DATA POINTS;
EMPIRICAL EXAMINATION;
EUCLIDEAN NORM;
HIGH DIMENSIONAL SPACES;
HUBNESS;
NEAREST NEIGHBOR CLASSIFICATION;
NUMBER OF DATUM;
UNSUPERVISED APPROACHES;
ARTIFICIAL INTELLIGENCE;
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EID: 84962013747
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (8)
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References (15)
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