C&EN

Illuminating the Interface of Blocc Chemistry and Data Science: An Introduction to K-Nearest Neighbor Analysis and K-Medoids Clustering

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The discovery of functional small molecules, chemical matter ...
Hosted 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, coding process, and practical examples to help you understand how KNN works ...
Frontiers

A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image

1 Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India 2 P.G. Department of Computer Science, Government Arts and Science College, Madurai, Tamil Nadu, India ...
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 (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...