How the Parameters of K-nearest Neighbor Algorithm Impact on the Best Classification Accuracy: In Case of Parkinson Dataset | Zendy

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How the Parameters of K-nearest Neighbor Algorithm Impact on the Best Classification Accuracy: In Case of Parkinson Dataset

Author(s) -

Chihmin Ma,

Wei-Shui Yang,

BorWen Cheng

Publication year - 2014

Publication title -

journal of applied sciences

Language(s) - English

Resource type - Journals

eISSN - 1812-5662

pISSN - 1812-5654

DOI - 10.3923/jas.2014.171.176

Subject(s) - k nearest neighbors algorithm , pattern recognition (psychology) , algorithm , computer science , artificial intelligence , parkinson's disease , data mining , medicine , disease , pathology

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