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Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis
Recent years have witnessed intense development of randomized methods for low-rank approximation. These methods target principal component analysis and the calculation of truncated singular value decompositions. The present article presents an essentially black-box, foolproof implementation for Math...
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| Publicado no: | ACM Trans Math Softw |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5625842/ https://ncbi.nlm.nih.gov/pubmed/28983138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3004053 |
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