Through the label propagation process, our method can make the best of the information of labeled and unlabeled examples to realize a global consistency assumption: similar examples should have similar labels.
the labels of unlabeled examples are determined by considering not only the similarity between labeled and unlabeled examples, but also the similarity between unlabeled examples.