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 ...

Scientists in Iraq used a k-Nearest Neighbors algorithm to evaluate the operational status of PV modules under various conditions, including partial shading, open circuit, and short circuit scenarios.

The k-nearest neighbors (k-NN or kNN) classification technique can perform both multi-class and binary classification. This article presents a complete demo program using k-nearest neighbors ...

Several electrical parameters are extracted and analyzed for fault using principal component analysis (PCA) and k-nearest neighbor (KNN) classification. The proposed algorithm is successfully shown to ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...