0
Your cart

Your cart is empty

Books > Science & Mathematics > Mathematics > Probability & statistics

Buy Now

High Dimensional Data Analysis (Paperback) Loot Price: R955
Discovery Miles 9 550
  • This item is a special order that could take a long time to obtain.

High Dimensional Data Analysis (Paperback): Fatemeh Emdad, Seyed Zekavat
High Dimensional Data Analysis (Paperback): Fatemeh Emdad, Seyed Zekavat

Share your images

High Dimensional Data Analysis (Paperback)

Fatemeh Emdad, Seyed Zekavat

 (sign in to rate)
Loot Price R955 Discovery Miles 9 550 | Repayment Terms: R89 pm x 12*

Bookmark and Share

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

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.

General

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

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Loyalty partners