Spectral feature selection for data mining
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framewo...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, FL :
CRC Press
2011.
[2012] |
| Edition: | 1st ed |
| Series: | Chapman & Hall/CRC data mining and knowledge discovery series.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009428241506719 |
| Summary: | Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervised feature selection. The book explores the latest research achievements, sheds light on new research directions, and stimulates readers to make the next creative breakthroughs. It presents the intrinsic ideas behind spectral feature selection, its th |
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| Item Description: | "A Chapman & Hall book." |
| Physical Description: | 1 online resource (216 p.) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781000023077 9780429107191 9781283596121 9786613908575 9781439862100 |
