The k-nearest neighbor (KNN) algorithm is like asking neighbors for advice – it makes predictions based on the majority vote of its nearby data points.

**In this study, we implemented and evaluated the K-Nearest Neighbors (KNN) algorithm from scratch, applying it to three distinct datasets: Breast Cancer, Car Evaluation, and Hayes-Roth, sourced from ...

K-Means is an unsupervised clustering algorithm that partitions data into k clusters by minimizing intra-cluster variance. It iteratively assigns data points to the nearest centroid and updates ...

k-Nearest Neighbor (kNN) algorithm is an effortless but productive machine learning algorithm. It is effective for classification as well as regression. However, it is more widely used for ...

Aiming at the k-nearest neighbors algorithm for scatter point cloud data, an improve method has been proposed based on dimension reduction and sorting. In the improved algorithm, the main directions ...