Buchcover von High Dimensional Data Analysis
Buchtitel:

High Dimensional Data Analysis

Overview, Analysis, and Applications

VDM Verlag Dr. Müller (09.10.2008 )

Books loader

Omni badge gutscheinfähig
ISBN-13:

978-3-639-07421-5

ISBN-10:
3639074211
EAN:
9783639074215
Buchsprache:
Englisch
Klappentext:
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.
Verlag:
VDM Verlag Dr. Müller
Webseite:
http://www.vdm-verlag.de
von (Autor):
Emdad Fatemeh
Seitenanzahl:
148
Veröffentlicht am:
09.10.2008
Lagerbestand:
Lieferbar
Kategorie:
Mathematik
Preis:
59,00 €
Stichworte:
Data Mining, Feature Extraction, noise removal, classification, Pattern Analysis, Subspace methods, Principal Component Analysis, Maximum noise fraction.

Books loader

Newsletter

Adyen::amex Adyen::mc Adyen::visa Adyen::cup Adyen::unionpay Paypal Überweisung

  0 Produkte im Warenkorb
Warenkorb bearbeiten
Loading frontend
LOADING