Clustering Analysis of Online Teaching Cases and Evaluation of Teaching Results

To facilitate front-line teachers to provide more efficient cases for classroom teaching activities in limited time, it is necessary conduct clustering analysis of online cases. The existing study on text-based resources focuses the representation and fusion different views texts discovery consistent allocation, ignores high-dimensional sparsity text data. this end, paper studies evaluation results. This gives design flow with case as core proposes a multi-view algorithm based subject alignment, presents model structure alignment. Based grey system theory, compares results before after use process Finally, experimental setup given, effectiveness proposed verified by experiment.