Spectral Feature Selection for Data Mining
CRC Press > Knowledge Unlatched GmbH
Spectral Feature Selection for Data MiningAuthor(s): Zheng Alan Zhao, Huan Liu\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781138112629, 978-1138112629\nSynopsis\nSpectral 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.\n\nThe 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 theoretical foundations, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. The authors also cover feature sele.
Compare prices (2 shops)
| shop | Price | Action |
|---|---|---|
|
68,48 GBP | Go to shop |
|
|
76,99 GBP | Go to shop |
Similar products
-
Spectral Feature Selection for Data Mining
From 210,00 EUR -
-
-
-
Wiley Registry of Mass Spectral Data, Upgrade
From 3.409,00 EUR -
Non-Linear Spectral Unmixing of Hyperspectral Data
From 49,99 EUR