By combining these two techniques, the efficiency of the classification process could be increased significantly. All features of PCA and KD-Tree related to the new proposed algorithm are discussed ...

Clustering analysis has been widely applied in various fields, and boundary detection based clustering algorithms have shown effective performance. In this work, we propose a clustering algorithm by ...

This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: ...

K-Nearest Neighbors algorithm (or KNN) is one of the most used learning algorithms due its simplicity. KNN or K-nearest neighbor Algorithm is a supervised learning algorithm that works on a principle ...

Abstract In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector ...

This article will get you kick-started with the KNN algorithm, understanding the intuition behind it and also learning to implement it in python for regression problems. What is KNN And How It Works?