Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.
The singular value decomposition is widely used to approximate data matrices with lower rank matrices. Feng and He [Ann. Appl. Stat. 3 (2009) 1634-1654] developed tests on dimensionality of the mean ...
This is a preview. Log in through your library . Abstract Community detection is one of the fundamental problems of network analysis, for which a number of methods have been proposed. Most modelbased ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback