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A review based on different types of clustering algorithms with their corresponding data sets has been proposed. In this paper, we have given a complete comparative statistical analysis of various clustering algorithms. Clustering algorithms usually employ distance metric or similarity metric to cluster the data set into different partitions. Well known clustering algorithms have been widely used...
Regionalization is one of the major issues faced by spatial data mining while representing social and economic geography. The purpose of this paper is to develop a system that applies data mining techniques to study air quality distribution of Chennai, a metro city in India using vehicular networking and map the distribution to geographic locations for effective policy making. Three different hybrid...
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