Unsupervised Learning of Particles Dispersion

Unsupervised Learning of Particles Dispersion

This paper discusses using unsupervised learning in classifying particle-like dispersion. The problem is relevant to various applications, including virus transmission and atmospheric pollution. The Reduce Uncertainty and Increase Confidence (RUN-ICON) algorithm of unsupervised learning is applied t...

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Bibliographic Details
Main Authors: Nicholas Christakis, Dimitris Drikakis
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Mathematics
Subjects:
unsupervised learning
machine learning
artificial intelligence
particles dispersion
virus transmission
air quality
Online Access:https://www.mdpi.com/2227-7390/11/17/3637

Internet

https://www.mdpi.com/2227-7390/11/17/3637

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