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Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature-selection algorithm that addresses several major issues with prior work, including problems with algorithm implementation, computational complexity, and so...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2010
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3445441/ https://ncbi.nlm.nih.gov/pubmed/20634556 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2009.190 |
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