稀疏,稀少;
But traditional collaborative filtering algorithm has the shortcomings of sparseness, expansibility, and synonymy.
但传统的协同过滤算法存在着稀疏性、扩展性和同义性的问题。
General clustering approaches, such as distance-based and statistics-based, are not adapted to classification of outliers because of their characteristic of fewness data and sparseness.
离群数据是数据中的小模式,因其固有的少数据与稀疏性等特征,使得基于距离或基于统计等常规聚类方式不适用于对离群数据的分类。
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