One simple illustration is K-nearest neighbor algorithm used for classification. It can be applied to digitizing hand-written characters, detecting hidden packages, etc. But here is a way of how ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.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 ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

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 ...