Application of k-means clustering and calendar view Visualisation for air pollution index analysis
Two years of diurnal concentration of particulate matter (PM10) and nitrogen dioxide with the addition of relative humidity measurement, collected from Putrajaya, Malaysia’s ground-based measurement station from January 2014 to December 2015, were analysed. Kmeans clustering was employed and optimal...
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| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
IOP Publishing Ltd
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/41724/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41724/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/41724/ https://www.researchgate.net/publication/365727238_Application_of_K-Means_Clustering_and_Calendar_View_Visualisation_for_Air_Pollution_Index_Analysis |
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Internet
https://eprints.ums.edu.my/id/eprint/41724/1/ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/41724/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/41724/
https://www.researchgate.net/publication/365727238_Application_of_K-Means_Clustering_and_Calendar_View_Visualisation_for_Air_Pollution_Index_Analysis