annindex provides easy-to-use, easy to understand, reasonably-performing implementations of modern approximate nearest neighbour search (ANNS) indexes. Modern vector databases (VDBMS) rely on such ...

K-Nearest Neighbors (KNN) Algorithm: The KNN algorithm is a simple and effective method for classification and regression tasks. Here's a brief overview along with formulas: Algorithm: Given a dataset ...

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 ...