Spectral feature selection for data mining / Zheng Alan Zhao, Huan Liu.
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...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
[2012]
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| Series: | Chapman & Hall/CRC data mining and knowledge discovery series.
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| Subjects: | |
| Online Access: | Access via Directory of Open Access Books |
| 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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| Physical Description: | 1 online resource (xv, 195 pages) : illustrations (some colour). |
| Bibliography: | Includes bibliographical references and index. |