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Effective K-nearest neighbor classifications for Wisconsin breast cancer data sets
Zhongguó gongchéng xuékan, 2019Using machine learning algorithms for early prediction of the signs and symptoms of breast cancer is in demand nowadays. One of these algorithms is the K-nearest neighbor (KNN), which uses a technique for measuring the distance among data.
Zohaib Mushtaq +3 more
semanticscholar +1 more source
Human Activity Recognition Using K-Nearest Neighbor Machine Learning Algorithm
Sustainable Design and Manufacturing, 2021Saeedi Mohsen +2 more
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A fuzzy K-nearest neighbor algorithm
IEEE Transactions on Systems, Man and Cybernetics, 1985J. Keller, M. R. Gray, James A. Givens
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Quantum K-Nearest-Neighbor Image Classification Algorithm Based on K-L Transform
International Journal of Theoretical Physics, 2021Nanrun Zhou +3 more
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k-Nearest Neighbor Prediction Functions
2016The purpose of the k-nearest neighbor prediction function is to predict a target variable from a predictor vector. Commonly, the target is a categorical variable, a label identifying the group from which the observation was drawn. The analyst has no knowledge of the membership label but does have the information coded in the attributes of the predictor
Brian Steele +2 more
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Plant root exudates and rhizosphere bacterial communities shift with neighbor context
Soil Biology and Biochemistry, 2022Tayler C Ulbrich +2 more
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