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Simultaneous Class Discovery and Classification of Microarray Data Using Spectral Analysis
Classification methods are commonly divided into two categories: unsupervised and supervised. Unsupervised methods have the ability to discover new classes by grouping data into clusters or tree structures without using the class labels, but they carry the risk of producing noninterpretable results....
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Mary Ann Liebert, Inc.
2009
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3148134/ https://ncbi.nlm.nih.gov/pubmed/19580522 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2008.0227 |
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