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 ...

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 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 ...

Figure 1: The k-Nearest Neighbors Classification Algorithm in Action The k-nearest neighbors classification technique is very simple. To classify a new input vector of predictor values, you determine ...