SpringerBriefs in Computer Science

Open Problems in Spectral Dimensionality Reduction

Authors: Strange, Harry, Zwiggelaar, Reyer

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  • Provides a clear and concise overview of spectral dimensionality reduction
  • Offers uniquely practical knowledge without requiring a background in the area
  • Suggests interesting starting points for future research in this area
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eBook $54.99
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  • ISBN 978-3-319-03943-5
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  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-03942-8
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  • Usually dispatched within 3 to 5 business days.
About this book

The last few years have seen a great increase in the amount of data available to scientists, yet many of the techniques used to analyse this data cannot cope with such large datasets. Therefore, strategies need to be employed as a pre-processing step to reduce the number of objects or measurements whilst retaining important information. Spectral dimensionality reduction is one such tool for the data processing pipeline. Numerous algorithms and improvements have been proposed for the purpose of performing spectral dimensionality reduction, yet there is still no gold standard technique. This book provides a survey and reference aimed at advanced undergraduate and postgraduate students as well as researchers, scientists, and engineers in a wide range of disciplines. Dimensionality reduction has proven useful in a wide range of problem domains and so this book will be applicable to anyone with a solid grounding in statistics and computer science seeking to apply spectral dimensionality to their work.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-03943-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-03942-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Open Problems in Spectral Dimensionality Reduction
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-03943-5
DOI
10.1007/978-3-319-03943-5
Softcover ISBN
978-3-319-03942-8
Series ISSN
2191-5768
Edition Number
1
Number of Pages
IX, 92
Number of Illustrations
5 b/w illustrations, 15 illustrations in colour
Topics