Malaysia PM<sub>10</sub> Air Quality Time Series Clustering Based on Dynamic Time Warping

Malaysia PM<sub>10</sub> Air Quality Time Series Clustering Based on Dynamic Time Warping

Air quality monitoring is important in the management of the environment and pollution. In this study, time series of PM<sub>10</sub> from air quality monitoring stations in Malaysia were clustered based on similarity in terms of time series patterns. The identified clusters were analyze...

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Bibliographic Details
Main Authors: Fatin Nur Afiqah Suris, Mohd Aftar Abu Bakar, Noratiqah Mohd Ariff, Mohd Shahrul Mohd Nadzir, Kamarulzaman Ibrahim
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Atmosphere
Subjects:
air quality
time series clustering
Dynamic Time Warping
k-Means
Partitioning Around Medoid
agglomerative hierarchical clustering
Online Access:https://www.mdpi.com/2073-4433/13/4/503

Internet

https://www.mdpi.com/2073-4433/13/4/503

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