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Unsupervised Learning: A Dynamic Approach by Matthew Kyan (English) Hardcover Bo

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9780470278338
Book Title
Unsupervised Learning
ISBN
9780470278338
Publication Name
Unsupervised Learning : a Dynamic Approach
Item Length
9.6in
Publisher
Wiley & Sons, Incorporated, John
Series
IEEE Press Series on Computational Intelligence Ser.
Publication Year
2014
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.9in
Author
Matthew Kyan, Paisarn Muneesawang, Ling Guan, Kambiz Jarrah
Item Width
6.4in
Item Weight
20.7 Oz
Number of Pages
288 Pages

About this product

Product Information

A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge--for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers. Inspired by the relative success of existing popular research on self-organizing neural networks for data clustering and feature extraction, Unsupervised Learning: A Dynamic Approach presents information within the family of generative, self-organizing maps, such as the self-organizing tree map (SOTM) and the more advanced self-organizing hierarchical variance map (SOHVM). It covers a series of pertinent, real-world applications with regard to the processing of multimedia data--from its role in generic image processing techniques, such as the automated modeling and removal of impulse noise in digital images, to problems in digital asset management and its various roles in feature extraction, visual enhancement, segmentation, and analysis of microbiological image data. Self-organization concepts and applications discussed include: Distance metrics for unsupervised clustering Synaptic self-amplification and competition Image retrieval Impulse noise removal Microbiological image analysis Unsupervised Learning: A Dynamic Approach introduces a new family of unsupervised algorithms that have a basis in self-organization, making it an invaluable resource for researchers, engineers, and scientists who want to create systems that effectively model oppressive volumes of data with little or no user intervention.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470278331
ISBN-13
9780470278338
eBay Product ID (ePID)
72344656

Product Key Features

Author
Matthew Kyan, Paisarn Muneesawang, Ling Guan, Kambiz Jarrah
Publication Name
Unsupervised Learning : a Dynamic Approach
Format
Hardcover
Language
English
Series
IEEE Press Series on Computational Intelligence Ser.
Publication Year
2014
Type
Textbook
Number of Pages
288 Pages

Dimensions

Item Length
9.6in
Item Height
0.9in
Item Width
6.4in
Item Weight
20.7 Oz

Additional Product Features

Series Volume Number
11
Lc Classification Number
Q325
Copyright Date
2014
Topic
Intelligence (Ai) & Semantics, System Theory
Lccn
2013-046024
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Computers, Science

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Premier Books LLC
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United States
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