In view of such problems in the classification of teaching materials of career planning course in uni-versities as the high occupation of computing resources and the low classification efficiency and accuracy,the paper suggests the intelligent classification method based on multi-clustering algorithm.Through transforming the high-dimensional data into a low-dimensional sample collection,constructing the characteristic tree of teaching materials,and determining the clustering quantity by means of the SL hierarchical clustering algorithm,the method reduces the occupation of computing resources and improves the classification efficiency and accuracy of teaching materials,realizing the intelligent classification of teaching materials of career planning course in universities.
关键词
多重聚类算法/教学资料分类/互信息/层次聚类
Key words
Multi-clustering algorithm/Classification of teaching materials/mutual information/Hi-erarchical clustering
维普
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