LEADER 01815nam a22003257a 4500
006 m o d
007 cr n
008 210603p20122019flu o u00| u eng d
a| ScCtBLL c| ScCtBLL
a| Liu, Huan e| author.
a| Spectral Feature Selection for Data Mining c| Huan Liu, Zheng Alan Zhao.
a| Boca Raton : b| CRC Press, c| 2012.
a| 1 online resource (220 pages)
a| text b| txt 2| rdacontent
a| computer b| c 2| rdamedia
a| online resource b| cr 2| rdacarrier
a| Open Access f| Unrestricted online access 2| star
a| This timely introduction to spectral feature selection illustrates the potential of this powerful dimensionality reduction technique in high-dimensional data processing. It presents the theoretical foundations of spectral feature selection, its connections to other algorithms, and its use in handling both large-scale data sets and small sample problems. Readers learn how to use spectral feature selection to solve challenging problems in real-life applications and discover how general feature selection and extraction are connected to spectral feature selection. Source code for the algorithms is available online.
a| Description based on print version record.
a| KU Select 2018: STEM Backlist Books
a| BiblioBoard internal publisher id: 102700
a| Electronic books.
a| Zhao, Zheng Alan e| author.
a| Knowledge Unlatched.
i| Is found in: a| KU Select 2018: STEM Backlist Books 1| https://openresearchlibrary.org/module/5db77111-2773-4909-9d60-34cc7bf46c9e