reviewAtmospheric Pollution ResearchSep 19, 2019Closed access

Application of k-means and hierarchical clustering techniques for analysis of air pollution: A review (1980–2019)

University of KwaZulu-Natal

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

581
total citations
FWCI
22.21
Percentile
100%
References
144
Citations per year

Authors

2

Topics & keywords

Keywords
  • Cluster analysis
  • Air pollution
  • Hierarchical clustering
  • Computer science
  • Data mining
  • Environmental science
  • Machine learning
UN Sustainable Development Goals
  • Climate action
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