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, ...
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 ...
Live Science

Astronomers are shocked to find our galaxy's nearest neighbor is being torn to shreds

An analysis of star movements from the Gaia spacecraft reveals that the Small Magellanic Cloud — a satellite galaxy bound to the Milky Way — is being torn apart by its larger neighbor. When you ...
C&EN

Fault Diagnosis in Chemical Reactors with Data-Driven Methods

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study investigates fault diagnosis, encompassing fault detection, isolation, and ...
Scientific Research Publishing

Tang, Y., Chang, Y. and Li, K. (2023) Applications of K-Nearest Neighbor Algorithm in Intelligent Diagnosis of Wind Turbine Blades Damage. Renewable Energy, 212, 855-864.

ABSTRACT: To ensure the efficient operation and timely maintenance of wind turbines, thereby enhancing energy security, it is critical to monitor the operational status of wind turbines and promptly ...
GitHub

k-Nearest_Neighbour_algorithm.py

3. Write a program to implement the k-Nearest Neighbour algorithm to classify the iris to predict correct and wrong predictions. Use Python ML library classes for the prediction.