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Yang, Wei-Shui, Ma, Chih-Min, ., Bor-Wen Cheng (2014) How the Parameters of K-nearest Neighbor Algorithm Impact on the Best Classification Accuracy: In Case of Parkinson Dataset. Journal of Applied Sciences, 14. 171-176 doi:10.3923/jas.2014.171.176

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Reference TypeJournal (article/letter/editorial)
TitleHow the Parameters of K-nearest Neighbor Algorithm Impact on the Best Classification Accuracy: In Case of Parkinson Dataset
JournalJournal of Applied Sciences
AuthorsYang, Wei-ShuiAuthor
Ma, Chih-MinAuthor
., Bor-Wen ChengAuthor
Year2014 (February 1)Volume14
PublisherScience Alert
DOIdoi:10.3923/jas.2014.171.176Search in ResearchGate
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Mindat Ref. ID10343780Long-form Identifiermindat:1:5:10343780:6
GUID0
Full ReferenceYang, Wei-Shui, Ma, Chih-Min, ., Bor-Wen Cheng (2014) How the Parameters of K-nearest Neighbor Algorithm Impact on the Best Classification Accuracy: In Case of Parkinson Dataset. Journal of Applied Sciences, 14. 171-176 doi:10.3923/jas.2014.171.176
Plain TextYang, Wei-Shui, Ma, Chih-Min, ., Bor-Wen Cheng (2014) How the Parameters of K-nearest Neighbor Algorithm Impact on the Best Classification Accuracy: In Case of Parkinson Dataset. Journal of Applied Sciences, 14. 171-176 doi:10.3923/jas.2014.171.176
In(n.d.) Journal of Applied Sciences Vol. 14. Science Alert

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