A higher-order generalized singular value decomposition for rank-deficient matrices
The higher-order generalized singular value decomposition (HO-GSVD) is a matrix factorization technique that extends the GSVD to <i>N</i> ≥ 2 data matrices and can be used to identify common subspaces that are shared across multiple large-scale datasets with different row dimensions. The...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Society for Industrial and Applied Mathematics
2023
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