Lazy learning algorithm − KNN is a lazy learning algorithm because it does not have a specialized training phase and uses all the data for training while classification. \n Non-parametric learning ...

K-nearest neighbors (KNN) algorithm is a type of supervised ML algorithm which can be used for both classification as well as regression predictive problems. However, it is mainly used for ...

A novel and efficient algorithm is proposed to reduce the computational complexity for KNN classification. It uses two important features, the approximation coefficient of a fully decomposed feature ...

Learn the differences between KNN and K-means, two popular machine learning algorithms that use similarities among data points for different purposes. Agree & Join LinkedIn ...

This paper studies KNN algorithm and analyzes the factors that affect the accuracy of image classification. Then the algorithm is improved by optimizing the selection strategy of K value in ...

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 Machines (SVM) ...