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Text feature is usually expressed as a matrix of huge dimensionality in text mining, and common clustering algorithm are not stable and cannot obtain clustering solution efficiently. Latent Semantic Analysis can reduce dimensionality effectively, and emerges the semantic relations between texts and terms. Clustering ensemble can get better clustering solution than single clustering method. A text...
Recently,the combination of genetic algorithm and neural network approach(GANN) has been carried out to improve the calculation accuracy of density functional theory. In the present work, the GANN approach with three simple input descriptors is applied to improve the accuracy of B3LYP calculation for C1-C16 alkanes. The prediction result shows that GANN is a more effective and economical techniques...
Vector Space Model ( VSM ) is usually used to express text features in text mining with huge dimension, but it can not show the structure of the text set obviously and costs much in computing. A new pursuit projection based text clustering algorithm is proposed. With minimizing (or maximizing) a projecting index, Projection Pursuit searches for an optimal projection direction and projects text feature...
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