Abstract
Air pollution, which is the result of the urbanization brought by modern life, has a dramatic impact on the global scale as well as local and regional scales. Since air pollution has important effects on human health and other living things, the issue of air quality is of great importance all over the world. Accordingly, many studies based on classification, clustering and association rule mining applications for air pollution have been proposed in the field of data mining and machine learning to extract hidden knowledge from environmental parameters. One approach is to model a region in a way that cities having similar characteristics are determined and placed into the same clusters. Instead of using traditional clustering algorithms, a novel algorithm, named Majority Voting based Multi-Task Clustering (MV-MTC), is proposed and utilized to consider multiple air pollutants jointly. Experimental studies showed that the proposed method is superior to five well-known clustering algorithms: K-Means, Expectation Maximization, Canopy, Farthest First and Hierarchical clustering methods.
Highlights
Air pollution is recognized as an important problem all over the world
Each task was clustered by the selected algorithm and their decision from consensus was obtained in Majority Voting based Multi-task Clustering (MV-multi-task clustering (MTC)) framework
The main air pollutants for the experiments were selected as PM10, SO2, NO2, nitrogen oxides (NO) and O3 and their mean daily concentrations were taken into consideration
Summary
Air pollution is recognized as an important problem all over the world. It can be referred as a mixture of multiple pollutants that vary in size and composition. Since particulate matters are very small and light, they tend to stay in the air longer than the heavier particles. This increases the likelihood of humans and animals inhaling these particles through respiration. Air pollution has a destructive and disturbing effect on artistic and architectural structures. On plants, they can be lethal and prevent their growth. High concentrations of air pollutants can harm human health, adversely influence environment, and cause property damage [1,2,3,4]
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