This project focuses on the implementation of the K-Nearest Neighbors (KNN) algorithm for image classification. The main objective is to identify actors or actresses that closely resemble a provided ...

The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems.It is a supervised ...

Abstract: The objective of this paper is to try and determine the usability of the k-Nearest Neighbour classifier as a base classifier for an ensemble. To do this, five different ensembles are tested ...

Abstract: Prototype Selection (PS) techniques can be implemented very efficiently to allow the nearest neighbor classification to be faster by using a simple method to preserve the most prominent data ...