High Dimensional Data Analysis - Brossura

Emdad, Fatemeh; Zekavat, Seyed

 
9783639074215: High Dimensional Data Analysis
Brossura
ISBN 10: 3639074211 ISBN 13: 9783639074215
Casa editrice: Vdm Verlag Dr Mueller E K, 2008

Sinossi

A data mining and feature extraction technique called Signal Fraction Analysis (SFA) is introduced. The method is applicable to high dimensional data. The row-energy and column-energy optimization problems for signal-to-signal ratios are investigated. A generalized singular value problem is presented. This setting is distinguished from the Singular Value Decomposition (SVD). Two new generalized SVD type problems for computing subspace representations is introduced. A connection between SFA and Canonical Correlation Analysis is maintained. We implement and investigate a nonlinear extension to SFA based on a kernel method, i.e., Kernel SFA. We include a detailed derivation of the methodology using kernel principal component analysis as a prototype. These methods are compared using toy examples and the benefits of KSFA are illustrated. The book studies the applications of the proposed techniques in the brain EEG data analysis and beam- forming in wireless communication systems.

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Editore
Vdm Verlag Dr Mueller E K
Data di pubblicazione
2008
Lingua
Inglese
ISBN 10 
3639074211
ISBN 13 
9783639074215
Rilegatura
Copertina flessibile
Numero di pagine
148
Contatto del produttore
non disponibile
Persona responsabile
non disponibile