000			02047nam a22003617a 4500
001			102700
003			KnowledgeUnlatched
005			20210303105121.0
006			m o d
007			cr u||||||||||
008			210129p20122019flu o u00| u eng d
037			_5BiblioBoard
245	0	0	_aSpectral Feature Selection for Data Mining _cHuan Liu, Zheng Alan Zhao.
020			_a9781439862094
029	1		_ahttps://library.biblioboard.com/ext/api/media/4895e3cf-d91f-4079-b2ca-734762788389/assets/thumbnail.jpg
040			_aScCtBLL _cScCtBLL
100	1		_aLiu, Huan _eauthor.
506	0		_aAccess copy available to the general public. _fUnrestricted _2star
700	1		_aZhao, Zheng Alan _eauthor.
264		1	_bCRC Press,
300			_a1 online resource (220 p.)
520			_aThis 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.
588	0		_aDescription based on print version record.
590			_aKU Select 2018: STEM Backlist Books
650		7	_aComputers / Computer Science _2bisacsh
650		0	_aComputers
655		0	_aElectronic books.
758			_iIs found in: _aKnowledge Unlatched _1https://openresearchlibrary.org/module/2774bc74-146a-484f-a7ba-ab1d6a09bbfb
856	4	0	_uhttps://openresearchlibrary.org/content/4895e3cf-d91f-4079-b2ca-734762788389 _zView this content on Open Research Library. _70
999			_c33647 _d33647