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Spectral clustering and biclustering...
~
Bolla, Marianna.
Spectral clustering and biclustering[electronic resource] :learning large graphs and contingency tables /
Record Type:
Language materials, printed : Monograph/item
[NT 15000414]:
515/.35
Title/Author:
Spectral clustering and biclustering : learning large graphs and contingency tables // Marianna Bolla.
Author:
Bolla, Marianna.
Published:
Chichester, West Sussex, United Kingdom : : Wiley,, 2013.
Description:
1 online resource (xxiii, 268 p.)
Subject:
Multivariate analysis.
Subject:
Contingency tables.
Subject:
Graph theory.
ISBN:
9781118650684 (electronic bk.)
ISBN:
9781118650707 (electronic bk.)
ISBN:
1118650700 (electronic bk.)
ISBN:
1118650689 (electronic bk.)
[NT 15000227]:
Includes bibliographical references and index.
[NT 15000229]:
"Offering a timely and novel treatment of spectral clustering and biclustering of networks, this book bridges the gap between graph theory and statistics by giving answers to the demanding questions that arise when statisticians are confronted with large weighted graphs or rectangular arrays. The author presents a wide range of classical and modern statistical methods adapted to weighted graphs and contingency tables. In addition, practical examples from social and biological networks are included, and a teacher's guide is provided on a supporting website"--
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781118650684
Spectral clustering and biclustering[electronic resource] :learning large graphs and contingency tables /
Bolla, Marianna.
Spectral clustering and biclustering
learning large graphs and contingency tables /[electronic resource] :Marianna Bolla. - Chichester, West Sussex, United Kingdom :Wiley,2013. - 1 online resource (xxiii, 268 p.)
Includes bibliographical references and index.
"Offering a timely and novel treatment of spectral clustering and biclustering of networks, this book bridges the gap between graph theory and statistics by giving answers to the demanding questions that arise when statisticians are confronted with large weighted graphs or rectangular arrays. The author presents a wide range of classical and modern statistical methods adapted to weighted graphs and contingency tables. In addition, practical examples from social and biological networks are included, and a teacher's guide is provided on a supporting website"--
ISBN: 9781118650684 (electronic bk.)
LCCN: 2013019810Subjects--Topical Terms:
182818
Multivariate analysis.
LC Class. No.: QA278
Dewey Class. No.: 515/.35
Spectral clustering and biclustering[electronic resource] :learning large graphs and contingency tables /
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Spectral clustering and biclustering
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[electronic resource] :
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learning large graphs and contingency tables /
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Marianna Bolla.
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2013.
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1 online resource (xxiii, 268 p.)
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Includes bibliographical references and index.
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"Offering a timely and novel treatment of spectral clustering and biclustering of networks, this book bridges the gap between graph theory and statistics by giving answers to the demanding questions that arise when statisticians are confronted with large weighted graphs or rectangular arrays. The author presents a wide range of classical and modern statistical methods adapted to weighted graphs and contingency tables. In addition, practical examples from social and biological networks are included, and a teacher's guide is provided on a supporting website"--
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"Provides a timely, novel and unified treatment of many important problems surrounding the spectral and classification properties of networks"--
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Description based on online resource; title from PDF title page (Wiley, viewed July 24, 2013)
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Multivariate analysis.
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Graph theory.
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http://onlinelibrary.wiley.com/book/10.1002/9781118650684
based on 0 review(s)
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