Improving the Predictive Performances of $k$ Nearest Neighbors Learning by Efficient Variable Selection

Variable selection methods play a critical role in machine learning, also known as feature selection. Variable selection helps avoid the curse of dimensionality, improving the prediction performance, shorter the training time or saving the computer resources, and so on.