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Spectral clustering and biclustering...
~
Bolla, Marianna.
Spectral clustering and biclustering :learning large graphs and contingency tables /
紀錄類型:
書目-語言資料,印刷品 : 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 :John Wiley & Sons Inc.,2013.
面頁冊數:
xxiii, 268 p. :ill. ;25 cm.
標題:
Contingency tables.
ISBN:
9781118344927 (hardback) :
Spectral clustering and biclustering :learning large graphs and contingency tables /
Bolla, Marianna.
Spectral clustering and biclustering :
learning large graphs and contingency tables /Marianna Bolla. - Chichester, West Sussex, United Kingdom :John Wiley & Sons Inc.,2013. - xxiii, 268 p. :ill. ;25 cm.
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: 9781118344927 (hardback) :NT$2388
LCCN: 2013011891Subjects--Topical Terms:
210352
Contingency tables.
LC Class. No.: QA278 / .B65 2013
Dewey Class. No.: 515/.35
Spectral clustering and biclustering :learning large graphs and contingency tables /
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learning large graphs and contingency tables /
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Marianna Bolla.
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Chichester, West Sussex, United Kingdom :
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John Wiley & Sons Inc.,
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2013.
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xxiii, 268 p. :
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ill. ;
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25 cm.
504
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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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Provided by publisher.
520
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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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Contingency tables.
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210352
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Graph theory.
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Multivariate analysis.
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181905
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