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Linear algebra tools for data mining
~
Simovici, Dan A.
Linear algebra tools for data mining
Record Type:
Electronic resources : Monograph/item
Title/Author:
Linear algebra tools for data miningDan A. Simovici.
Author:
Simovici, Dan A.
Published:
Singapore ;World Scientific Pub. Co.,c2012.
Description:
xiv, 863 p. :ill. (some col.)
Subject:
Parallel processing (Electronic computers).
Online resource:
http://www.worldscientific.com/worldscibooks/10.1142/8360#t=toc
ISBN:
9789814383509 (electronic bk.)
Linear algebra tools for data mining
Simovici, Dan A.
Linear algebra tools for data mining
[electronic resource] /Dan A. Simovici. - Singapore ;World Scientific Pub. Co.,c2012. - xiv, 863 p. :ill. (some col.)
Includes bibliographical references (p. 843-851) and index.
This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications.
Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2012.
System requirements: Adobe Acrobat Reader.
ISBN: 9789814383509 (electronic bk.)Subjects--Topical Terms:
194418
Parallel processing (Electronic computers).
LC Class. No.: QA76.9.D343 / S56 2012eb
Dewey Class. No.: 004.35
Linear algebra tools for data mining
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xiv, 863 p. :
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ill. (some col.)
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Includes bibliographical references (p. 843-851) and index.
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This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications.
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2012.
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System requirements: Adobe Acrobat Reader.
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http://www.worldscientific.com/worldscibooks/10.1142/8360#t=toc
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EB QA76.9.D343 S56 2012eb c2012
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