Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

Non-Intrusive Load Monitoring Modeling and Analysis Based on Optimized K-Nearest Neighbor Algorithm

Abstract: Aiming at the problem that the recognition rate of the K-Nearest Neighbor (KNN) algorithm is not high in the face of similar power fingerprints in non-intrusive load recognition, an improved ...
IEEE

Towards Comparative Analysis Of Branch - And - Bound And Nearest Neighbour Algorithms

Abstract: The branch - and - bound strategy has been used successfully in solving certain categories of combinatorial optimization problems. It has also been viewed as a tool for solving Travelling ...
GitHub

Lightweight Nearest Neighbors with Flexible Backends

Vicinity is a light-weight, low-dependency vector store. It provides a simple and intuitive interface for nearest neighbor search, with support for different backends and evaluation. There are many ...