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Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing
In the current era of big data, the amount of data available is continuously increasing. Both the number and types of samples, or features, are on the rise. The mixing of distinct features often makes interpretation more difficult. However, separate analysis of individual types requires subsequent i...
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| Veröffentlicht in: | PLoS One |
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| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5571984/ https://ncbi.nlm.nih.gov/pubmed/28841719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0183933 |
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