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

A Wi-Fi Fingerprint Localization Method Based on Self-Adaptive K-value and Improved Sparrow Search Algorithm

Abstract: In indoor environments where GNSS signals are attenuated or blocked, Wi-Fi-based fingerprint positioning technology can be used as a complementary indoor positioning solution with ...
Scientific Research Publishing

Al-Sultani, Z.N. (2012) Learning Vector Quantization (LVQ) and k-Nearest Neighbor for Intrusion Classification. World of Computer Science and Information Technology Journal, 2 ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
Frontiers

Network intrusion detection based on relative mutual K-nearest neighbor density peak clustering

1 Yibin University, School of Computer Science and Technology, Yibin, China 2 Southwest Petroleum University, School of Computer and Software, Chengdu, China Network security is the core guarantee for ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: 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 ...
GitHub

Feature Request: Handle Tied Distances in k-Nearest Neighbor Search

In scenarios where multiple neighbors have the same distance to a query point (ties), the current implementation deterministically returns the same k neighbors based on the tree traversal or data ...