Nearest neighbour classification techniques, particularly the k‐nearest neighbour (kNN) algorithm, have long been valued for their simplicity and effectiveness in pattern recognition and data ...

The k-nearest neighbors (k-NN) algorithm is a technique for machine learning classification. The k-NN technique can be used for binary classification (predict where there are exactly two possible ...

In this article we study random forests through their connection with a new framework of adaptive nearest-neighbor methods. We introduce a concept of potential nearest neighbors (k-PNNs) and show that ...