Dimensionality Reduction with Unsupervised Nearest Neighbors
Author:   Oliver Kramer
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2013
Volume:   51
ISBN:  

9783662518953


Pages:   132
Publication Date:   30 April 2017
Format:   Paperback
Availability:   In Print   Availability explained
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Dimensionality Reduction with Unsupervised Nearest Neighbors


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Author:   Oliver Kramer
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2013
Volume:   51
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783662518953


ISBN 10:   3662518953
Pages:   132
Publication Date:   30 April 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Part I Foundations.- Part II Unsupervised Nearest Neighbors.- Part III Conclusions.

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)


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)


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)


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