Matrix methods in data mining and pattern recognition

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Matrix methods in data mining and pattern recognition

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Matrix methods in data mining and pattern recognition omFundamentals of AlgorithmsEditor-in-Chief: Nicholas J. Higham, University of ManchesterThe SIAM series on Fundamentals of Algorithms is a collection

of short user-oriented books on state-of-the-art numerical methods. Written by experts, the books provide readers with sufficient knowledge to choose Matrix methods in data mining and pattern recognition

an appropriate method for an application and to understand the method's strengths and limitations. The books cover a range of topics drawn from numer

Matrix methods in data mining and pattern recognition

ical analysis and scientific computing. The intended audiences are researchers and practitioners using the methods and upper level undergraduates in m

íaOđ.elđentml.qxp 2/2B/2007 3:24 PM Pa.je 1Matrix Methods in Data Mining and Pattern RecognitionraOđ.elclenrml.gxp 2/28/2007 3:21 PM Page 0

Matrix methods in data mining and pattern recognition used in solving a specific problem but also explain how the method can be developed into an algorithm and translated into software. The books describe

the range of applicability of a method and give guidance on troubleshooting solvers and interpreting results. The theory is presented at a level acce Matrix methods in data mining and pattern recognition

ssible to the practitioner. MATLAB* software is the preferred language for codes presented since it can be used across a wide variety of platforms and

Matrix methods in data mining and pattern recognition

is an excellent environment for prototyping, testing, and problem solving.The series is intended to provide guides to numerical algorithms that ate r

íaOđ.elđentml.qxp 2/2B/2007 3:24 PM Pa.je 1Matrix Methods in Data Mining and Pattern RecognitionraOđ.elclenrml.gxp 2/28/2007 3:21 PM Page 0

Matrix methods in data mining and pattern recognition Peter BennerTechnische Universitat ChemnitzJohn R. GilbertUniversity of California. Santa BarbaraMichael T. HeathUniversity of Illinois, Urbana-Champa

ignc. T. KelleyNorth Carolina State UniversityCleve MolerThe MathWorksJames G. NagyEmory UniversityDianne p. O’Leary University of MarylandRobert 0. R Matrix methods in data mining and pattern recognition

ussellSimon Fraser UniversityRobert 0. SkeelPurdue UniversityDanny SorensenRice UniversityAndrew J. WathenOxford UniversityHenry WolkowKZ University o

Matrix methods in data mining and pattern recognition

f WaterlooSeries VolumesEldén, L., Matrix Methodi in Data Mining and Pattern RecognitionHansen, p. c., Nagy. J. G.. and O'Leary. D. p., Demurring Imag

íaOđ.elđentml.qxp 2/2B/2007 3:24 PM Pa.je 1Matrix Methods in Data Mining and Pattern RecognitionraOđ.elclenrml.gxp 2/28/2007 3:21 PM Page 0

Matrix methods in data mining and pattern recognition hod

íaOđ.elđentml.qxp 2/2B/2007 3:24 PM Pa.je 1Matrix Methods in Data Mining and Pattern RecognitionraOđ.elclenrml.gxp 2/28/2007 3:21 PM Page 0