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Dimensionality reduction with unsupervised nearest neighbors

Author: Oliver Kramer
Publisher: Berlin ; New York : Springer, ©2013.
Series: Intelligent systems reference library, v.51.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book is devoted to a novel approach for dimensionality reduction based on the nearest neighbor method, a powerful classification and regression approach.
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Oliver Kramer
ISBN: 9783642386527 3642386520 3642386512 9783642386510
OCLC Number: 847735622
Description: 1 online resource.
Contents: Foundations. K-Nearest Neighbors --
Ensemble Learning --
Dimensionality Reduction --
Unsupervised Nearest Neighbors. Latent Sorting --
Metaheuristics --
Kernel and Submanifold Learning --
Conclusions. Summary and Outlook.
Series Title: Intelligent systems reference library, v.51.
Responsibility: Oliver Kramer.
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Abstract:

This book is devoted to a novel approach for dimensionality reduction based on the nearest neighbor method, a powerful classification and regression approach.

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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 Read more...

 
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