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5Using principal component analysis to improve eathquake magnitude prediction in JapanLogic Journal of the IGPL 25 (6): 949-966. 2017.Increasing attention has been paid to the prediction of earthquakes with data mining techniques during the last decade. Several works have already proposed the use of certain features serving as inputs for supervised classifiers. However, they have been successfully used without any further transformation so far. In this work, the use of principal component analysis to reduce data dimensionality and generate new datasets is proposed. In particular, this step is inserted in a successfully already…Read more
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