GitHub’s open-source Spec Kit formalizes spec-driven development for AI coding agents by providing a CLI, templates, and prompts that move work through specification, plan, tasks, and implementation, ...

The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of traditional kNN ...

Kernel k -Nearest Neighbor (K-KNN) regression extends the conventional KNN regression algorithm, an instance-based learning method, by incorporating kernel functions.

This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: ...

k nearest neighbor classifier in machine learning. Contribute to YHbibi/KNN-algorithm-in-Python development by creating an account on GitHub.