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Principal Graph and Structure Learning Based on Reversed Graph Embedding
Many scientific datasets are of high dimension, and the analysis usually requires retaining the most important structures of data. Principal curve is a widely used approach for this purpose. However, many existing methods work only for data with structures that are mathematically formulated by curve...
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| Vydáno v: | IEEE Trans Pattern Anal Mach Intell |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5899072/ https://ncbi.nlm.nih.gov/pubmed/28114001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2016.2635657 |
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