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Spectral clustering and biclustering...

Bolla, Marianna.

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Spectral clustering and biclustering = learning large graphs and contingency tables /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spectral clustering and biclustering/ Marianna Bolla.
其他題名:	learning large graphs and contingency tables /
作者:	Bolla, Marianna.
出版者:	Chichester, West Sussex, United Kingdom :Wiley, : 2013.,
面頁冊數:	1 online resource (xxiii, 268 p.)
標題:	Multivariate analysis. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118650684
ISBN:	9781118650684 (electronic bk.)

Spectral clustering and biclustering = learning large graphs and contingency tables /
Bolla, Marianna.

Spectral clustering and biclusteringlearning 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:

517467
Multivariate analysis.

LC Class. No.: QA278

Dewey Class. No.: 515/.35

Spectral clustering and biclustering = learning large graphs and contingency tables /
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245 1 0 $a Spectral clustering and biclustering $h [electronic resource] : $b learning large graphs and contingency tables / $c Marianna Bolla.
260 $a Chichester, West Sussex, United Kingdom : $b Wiley, $c 2013.
300 $a 1 online resource (xxiii, 268 p.)
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
520 $a "Provides a timely, novel and unified treatment of many important problems surrounding the spectral and classification properties of networks"-- $c Provided by publisher.
588 $a Description based on online resource; title from PDF title page (Wiley, viewed July 24, 2013)
650 0 $a Multivariate analysis. $3 517467
650 0 $a Contingency tables. $3 565990
650 0 $a Graph theory. $3 523815
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118650684