To address these challenges, this paper designs a dynamic prediction system of generalized regression neural network (GRNN) with feedback mechanism by virtue of KNN and modified grey wolf optimization ...

K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest several ...

Learn about the most common and effective distance metrics for k-nearest neighbors (KNN) algorithms and how to select the best one for your data and problem.

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.