Hybridization of hierarchical clustering with persistent homology in assessing haze episodes between air quality monitoring stations

Haze has been a major issue afflicting Southeast Asian countries, including Malaysia, for the past few decades. Hierarchical agglomerative cluster analysis (HACA) is commonly used to evaluate the spatial behavior between areas in which pollutants interact. Typically, using HACA, the Euclidean distan...

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Veröffentlicht in:	Journal of environmental management 2022-03, Vol.306, p.114434-114434, Article 114434
Hauptverfasser:	Zulkepli, Nur Fariha Syaqina, Noorani, Mohd Salmi Md, Razak, Fatimah Abdul, Ismail, Munira, Alias, Mohd Almie
Format:	Artikel
Sprache:	eng
Schlagworte:	Air Pollutants - analysis Air Pollution - analysis Cluster Analysis Environmental Monitoring Haze Hierarchical clustering Particulate Matter - analysis Persistent homology Time delay embedding Topological data analysis
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