DPC (density peaks clustering) algorithm has garnered widespread attention due to its novelty and superior performance. However, it is sensitive to the arbitrary cutoff distance, and its very ...

Cluster analysis is a widely used unsupervised learning technique designed to classify samples on the basis of their similarity 1. This technique presents a challenging problem in data mining and ...

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.