Spectral clustering and biclustering: learning large graphs and contingency tables

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular...

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Detalles Bibliográficos
Autor principal: Bolla, Marianna
Lenguaje:eng
Publicado: Wiley 2013
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1604130
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author Bolla, Marianna
author_facet Bolla, Marianna
author_sort Bolla, Marianna
collection CERN
description Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs. This book is suitable for a one-semester course for graduate students in data mining, mult
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spelling cern-16041302021-04-21T22:24:53Zhttp://cds.cern.ch/record/1604130engBolla, MariannaSpectral clustering and biclustering: learning large graphs and contingency tablesMathematical Physics and Mathematics Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between graph theory and statistics by giving answers to the demanding questions which arise when statisticians are confronted with large weighted graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs. This book is suitable for a one-semester course for graduate students in data mining, multWileyoai:cds.cern.ch:16041302013
spellingShingle Mathematical Physics and Mathematics
Bolla, Marianna
Spectral clustering and biclustering: learning large graphs and contingency tables
title Spectral clustering and biclustering: learning large graphs and contingency tables
title_full Spectral clustering and biclustering: learning large graphs and contingency tables
title_fullStr Spectral clustering and biclustering: learning large graphs and contingency tables
title_full_unstemmed Spectral clustering and biclustering: learning large graphs and contingency tables
title_short Spectral clustering and biclustering: learning large graphs and contingency tables
title_sort spectral clustering and biclustering: learning large graphs and contingency tables
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1604130
work_keys_str_mv AT bollamarianna spectralclusteringandbiclusteringlearninglargegraphsandcontingencytables

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