000 02774nam a22004695i 4500
001 978-3-642-27497-8
003 DE-He213
005 20140220083818.0
007 cr nn 008mamaa
008 120427s2011 gw | s |||| 0|eng d
020 _a9783642274978
_9978-3-642-27497-8
024 7 _a10.1007/978-3-642-27497-8
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
100 1 _aWang, Jianzhong.
_eauthor.
245 1 0 _aGeometric Structure of High-Dimensional Data and Dimensionality Reduction
_h[electronic resource] /
_cby Jianzhong Wang.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aApprox. 365 p. 91 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _a"Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear methods and introduces the applications of dimensionality reduction in many areas, such as face recognition, image segmentation, data classification, data visualization, and hyperspectral imagery data analysis. Numerous tables and graphs are included to illustrate the ideas, effects, and shortcomings of the methods. MATLAB code of all dimensionality reduction algorithms is provided to aid the readers with the implementations on computers.  The book will be useful for mathematicians, statisticians, computer scientists, and data analysts. It is also a valuable handbook for other practitioners who have a basic background in mathematics, statistics and/or computer algorithms, like internet search engine designers, physicists, geologists, electronic engineers, and economists. Jianzhong Wang is a Professor of Mathematics at Sam Houston State University, U.S.A.
650 0 _aComputer science.
650 0 _aData structures (Computer science).
650 0 _aData mining.
650 0 _aMathematics.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aApplications of Mathematics.
650 2 4 _aData Structures, Cryptology and Information Theory.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642274961
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-27497-8
912 _aZDB-2-SCS
999 _c108656
_d108656