Weather forecasting by using modified K-means intra and inter clustering algorithm

Abstract

Urban air pollution causes biggest to the human being. Monitoring and controlling of air pollution becomes an essential thing. Deals with large dataset when forecasting the weather. Hadoop is popular for storing and processing. K-means clustering finds resemblance in small dataset. In proposed system k-means hadoop mapreduce (KM-HMR) deals with implementation of mapreduce with standard k-means clustering. And KM-I2C k-means inter cluster, it maximizes the distance between the cluster and intra cluster minimizes the distance between the clusters. This approaches increases the quality of cluster it becomes efficient and effective.