Randomized algorithms for distributed computation of principal component analysis and singular value decomposition
{{output}}
Randomized algorithms provide solutions to two ubiquitous problems: (1) the distributed calculation of a principal component analysis or singular value decomposition of a highly rectangular matrix, and (2) the distributed calculation of a low-rank approximatio... ...
