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Clustering is a very widely used data mining task practiced to partition data in to similar groups/clusters. Data clustering can be challenging, when it has to be done for huge data sets as no single clustering algorithm proves to give optimal results. Clustering ensembles is an emerging solution to the above issue for improving robustness, stability and accuracy of unsupervised clustering. The clustering...
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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