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Intelligent Systems Reference Library

Dimensionality Reduction with Unsupervised Nearest Neighbors

Authors: Kramer, Oliver

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  • Presents recent research in the Hybridization of Metaheuristics for Optimization Problems
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About this book

This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach. It starts with an introduction to machine learning concepts and a real-world application from the energy domain. Then, unsupervised nearest neighbors (UNN) is introduced as efficient iterative method for dimensionality reduction. Various UNN models are developed step by step, reaching from a simple iterative strategy for discrete latent spaces to a stochastic kernel-based algorithm for learning submanifolds with independent parameterizations. Extensions that allow the embedding of incomplete and noisy patterns are introduced. Various optimization approaches are compared, from evolutionary to swarm-based heuristics. Experimental comparisons to related methodologies taking into account artificial test data sets and also real-world data demonstrate the behavior of UNN in practical scenarios. The book contains numerous color figures to illustrate the introduced concepts and to highlight the experimental results.

 

Reviews

From the reviews:

“The book provides an overview of the author’s work on dimensionality reduction using unsupervised nearest neighbors. … this book is primarily of interest to scholars who want to learn more about Prof. Kramer’s research on dimensionality reduction.” (Laurens van der Maaten, zbMATH, Vol. 1283, 2014)


Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-642-38652-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-642-38651-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 12, 2016
  • ISBN 978-3-662-51895-3
  • Free shipping for individuals worldwide
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Dimensionality Reduction with Unsupervised Nearest Neighbors
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
51
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-38652-7
DOI
10.1007/978-3-642-38652-7
Hardcover ISBN
978-3-642-38651-0
Softcover ISBN
978-3-662-51895-3
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XII, 132
Number of Illustrations
3 b/w illustrations, 45 illustrations in colour
Topics