IEEE

Clustering Algorithm by Boundary Detection Base on Entropy of KNN

Abstract: Clustering analysis has been widely applied in various fields, and boundary detection based clustering algorithms have shown effective performance. In this work, we propose a clustering ...
C&EN

Bridging Quantum Chemistry and MaxCut: Classical Performance Guarantees and Quantum Algorithms for the Hartree–Fock Method

Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom ...
IEEE

Enhancing Accuracy in Sign Language Recognition Using Linear Regression Algorithm with Gradientdescent Over K Nearest Neighbors Algorithm

Abstract: Sign language recognition is an essential task in closing the communication gap between hearing-impaired people and the rest of the population. This paper suggests a better machine learning ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...