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Designing consensus function by analyzing ensemble method of clustering members and clustering, then the class center will be determined by the way of using the weighted method. Clustering ensemble, which is Based on part priority clustering algorithm, is to improve the accuracy of the algorithm. Experiments results proved that the algorithm which is optimized takes great advantages over that in scalability,...
It is always true that in the classification problems, unlabeled data is abundant while the cost for labeling data is expensive. In addition, large data sets often contain redundancy hence degrade the performance of the classifiers. In order to guarantee the generalization capability of the classifiers, a certain number of suitable unlabeled samples need to be selected out and labeled. This process...
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