Incremental-SVD-updates
所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:3KB
下载次数:58
上传日期:2013-03-13 13:35:18
上 传 者:
bobo2017
说明: 增量奇异值分解算法,来至MIT大学的wingate教授,含3个源码.
(Given the thin SVD of a matrix (X=USV ), update it in a number of interesting ways, while preserving the rank of the result.
svd_update.m- update the SVD to be [X+ A *B]=Up*Sp*Vp (a general matrix update).
addblock_svd_update.m- update the SVD to be [X A] = Up*Sp*Vp (add columns [ie, new data points])
rank_one_svd_update.m- update the SVD to be [X+ a*b ] = Up*Sp*Vp (that is, a general rank-one update. This can be used to add columns, zero columns, change columns, recenter the matrix, etc. ).)
文件列表:
Incremental SVD updates\addblock_svd_update.m (2304, 2013-03-13)
Incremental SVD updates\rank_one_svd_update.m (2231, 2013-03-13)
Incremental SVD updates\svd_update.m (2059, 2013-03-13)
Incremental SVD updates (0, 2013-03-13)
近期下载者:
相关文件:
收藏者: