摘要：ABSTRACT Semi-supervised learning has become an attractive methodology for improving classification models and is often viewed as using unlabeled data to aid supervised learning. However, it can also be viewed as using labeled data to h...http://www.researchgate.net/publication/220343838_Shi_Z._Semi-supervised_model_based_document_clustering_a_comparative_study._Machine_Learning_65(1)_3-29

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