High Dimensional Data Analysis

Name: High Dimensional Data Analysis
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639074215
Price: 1377 CZK
Availability: InStock

Overview, Analysis, and Applications

Autor: Fatemeh Emdad, Seyed Zekavat

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag Dr. Mueller E.K.

Dostupnost: Skladem u dodavatele

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A data mining and feature extraction techniquecalled Signal Fraction Analysis (SFA) is introduced.Th...

Informace o knize

Autor

Fatemeh Emdad, Seyed Zekavat

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2008

Stránek

148

EAN

9783639074215

ISBN

3639074211

Enbook ID

06816686

Vydavatel

VDM Verlag Dr. Mueller E.K.

Hmotnost

209

Rozměry

152 x 229 x 8

Kompletní popis

A data mining and feature extraction techniquecalled Signal Fraction Analysis (SFA) is introduced.The method is applicable to high dimensional data.The row-energy and column-energy optimizationproblems for signal-to-signal ratios areinvestigated.A generalized singular value problem is presented.This setting is distinguished from the SingularValue Decomposition (SVD).Two new generalized SVD type problems for computingsubspace representations is introduced. A connectionbetween SFA and Canonical Correlation Analysis ismaintained. We implement and investigate a nonlinearextension to SFA based on a kernel method, i.e.,Kernel SFA.We include a detailed derivation of the methodologyusing kernel principal component analysis as aprototype. These methods are compared using toyexamples and the benefits of KSFA are illustrated.The book studies the applications of the proposedtechniques in the brain EEG data analysis and beam-forming in wireless communication systems.

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High Dimensional Data Analysis

Overview, Analysis, and Applications

Informace o knize

Kompletní popis

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