Matrix methods in data mining and pattern recognition

By:

Eldén ,Lars

Publication details: Society for Industrial and Applied Mathematics, 2007. Philadelphia:Description: 224 p.; ill.; 25 cmISBN:

9780898716269

Subject(s):

DDC classification:

005.74 ELD

Summary: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application." "The book is intended for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course. Graduate students in various data mining and pattern recognition areas who need an introduction to linear algebra techniques will also find the book useful

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	IIT Gandhinagar	005.74 ELD (Browse shelf(Opens below))	Available		024097

Includes bibliographical references and index.

Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application." "The book is intended for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course. Graduate students in various data mining and pattern recognition areas who need an introduction to linear algebra techniques will also find the book useful

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