Using Artificial Intelligence Tools to Analyze Particulate Matter Data (PM<sub>2.5</sub>)

Using Artificial Intelligence Tools to Analyze Particulate Matter Data (PM<sub>2.5</sub>)

A multivariable clustering methodology was evaluated using the LAMDA algorithm as an alternative tool for analyzing air quality data. This analysis was based on the assessment of marginal and global adequacy degrees for classification using temporal records of PM<sub>2.5</sub> data. This...

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Bibliographic Details
Main Authors: Miriam Gómez Marín, Henry O. Sarmiento-Maldonado, Alba Nelly Ardila Arias, William Alonso Giraldo Aristizábal, Rubén Darío Vásquez-Salazar
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Atmosphere
Subjects:
multivariable clustering
LAMDA algorithm
air quality
COVID-19 pandemic
PM<sub>2.5</sub> concentrations
Online Access:https://www.mdpi.com/2073-4433/16/6/635
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