2012年6月12日
数学之美之SVD分解
摘要： 所谓SVD，就是要把矩阵进行如下转换：A = USVTthe columns ofUare the eigenvectors of theAATmatrix and the columns ofVare the eigenvectors of theATAmatrix.VTis the transpose ofVandSis a diagonal matrix. By definition the nondiagonal elements of diagonal matrices are zero. The diagonal elements ofSare a special kind of 阅读全文
posted @ 2012-06-12 21:26 张兰云 阅读(1271) 评论(0) 推荐(0)