Matrix methods in data mining and pattern recognition
Publication details: Society for Industrial and Applied Mathematics, 2007. Philadelphia:Description: 224 p.; ill.; 25 cmISBN:- 9780898716269
- 005.74 ELD
Item type | Current library | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
Books | IIT Gandhinagar | 005.74 ELD (Browse shelf(Opens below)) | Available | 024097 |
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005.73 TEN Data structures using C | 005.74 CAS Truth machine: the Blockchain and the future of everything | 005.74 DAT Introduction to database systems | 005.74 ELD Matrix methods in data mining and pattern recognition | 005.74 KIT Data revolution: big data, open data, data infrastructures and their consequences | 005.74 LAW Data mining methods and applications | 005.74 LAW Data mining methods and applications |
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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