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In this paper, for zoning a large set of location's data we apply the k-means clustering algorithm. The results were plotted graphically and were satisfactory, so we conclude that the algorithm is useful despite the size of the data, at least for low data dimensions (latitude, longitude).
In this paper, we focus on automatic quality assessment for intelligent essay grading. Our devised system grades essays without depending upon completely overlapping essays in training data. This increases the scope of devised system due to list dependency on highly topic focused labeled data for automatic essay grading. Instead of depending upon direct topic specific matching w.r.t., training data,...
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