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...
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| Format: | eBook |
| Language: | English |
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Boca Raton, FL
CRC Press
2012
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| Series: | Chapman & Hall/CRC data mining and knowledge discovery series
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| 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: | xv, 195 pages illustrations (some color) |
| ISBN: | 1439862095 9781000023077 1138112623 1283596121 9781283596121 6613908576 0429107196 9781138112629 9780429107191 1439862109 9781439862100 9786613908575 9781439862094 |