Air quality index analysis of Bengaluru city air pollutants using Expectation Maximization clustering

Local air quality is important which affects the human breathe and life. Air quality changes like the weather from day to day. The information about outdoor air quality a or AQI pollution in the air. The AQI measuring system gives information to the people about the locations air quality. The objective of the proposed method is to analyze and visualize the AQI of Bengaluru city. This data collected ten different stations of Bengaluru city for the six years from 2015 to 2020. The proposed work analyses the important pollutants which are selected using attribute selection method such as decision tree and correlation matrix used in the date set of all the stations. Expectation Maximization (EM) Clustering technique applied to analyze the data and the results are discussed.