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High Dimensional Data Analysis (Paperback) Loot Price: R980
Discovery Miles 9 800
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High Dimensional Data Analysis (Paperback): Fatemeh Emdad, Seyed Zekavat
High Dimensional Data Analysis (Paperback): Fatemeh Emdad, Seyed Zekavat

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High Dimensional Data Analysis (Paperback)

Fatemeh Emdad, Seyed Zekavat

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Loot Price R980 Discovery Miles 9 800 | Repayment Terms: R91 pm x 12*

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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.


Imprint: VDM Verlag
Country of origin: Germany
Release date: August 2008
First published: August 2008
Authors: Fatemeh Emdad • Seyed Zekavat
Dimensions: 229 x 152 x 8mm (L x W x T)
Format: Paperback - Trade
Pages: 148
ISBN-13: 978-3-639-07421-5
Barcode: 9783639074215
Categories: Promotions
Books > Science & Mathematics > Mathematics > Probability & statistics
LSN: 3-639-07421-1

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