搜索结果: 1-1 共查到“管理学 Generalized Low Rank Models”相关记录1条 . 查询时间(0.062 秒)
Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets c...