1 Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India 2 P.G. Department of Computer Science, Government Arts and Science College, Madurai, Tamil Nadu, India ...

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1 Guangzhou Power Supply Bureau of Guangdong Power Grid Co. Ltd., Guangzhou, Guangdong, China 2 Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China Introduction: ...

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...

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Abstract: A Polar KNN classification algorithm suitable for turbulence-distorted QAM signals is proposed, which can robustly achieve optimized decision at low training lengths. Simulation results show ...

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...