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

Determining The Parameter K of K-Nearest Neighbors (KNN) using Random Grid Search

Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...
IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...
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 ...