Cluster analysis

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such...

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Detalles Bibliográficos
Autores principales: Everitt, Brian S, Landau, Sabine, Leese, Morven, Stahl, Daniel
Lenguaje:eng
Publicado: John Wiley & Sons 2011
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1417099
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author Everitt, Brian S
Landau, Sabine
Leese, Morven
Stahl, Daniel
author_facet Everitt, Brian S
Landau, Sabine
Leese, Morven
Stahl, Daniel
author_sort Everitt, Brian S
collection CERN
description Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.Real life examples are used throughout to demons
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publishDate 2011
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spelling cern-14170992021-04-22T00:38:08Zhttp://cds.cern.ch/record/1417099engEveritt, Brian SLandau, SabineLeese, MorvenStahl, DanielCluster analysisMathematical Physics and MathematicsCluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.Real life examples are used throughout to demonsJohn Wiley & Sonsoai:cds.cern.ch:14170992011
spellingShingle Mathematical Physics and Mathematics
Everitt, Brian S
Landau, Sabine
Leese, Morven
Stahl, Daniel
Cluster analysis
title Cluster analysis
title_full Cluster analysis
title_fullStr Cluster analysis
title_full_unstemmed Cluster analysis
title_short Cluster analysis
title_sort cluster analysis
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1417099
work_keys_str_mv AT everittbrians clusteranalysis
AT landausabine clusteranalysis
AT leesemorven clusteranalysis
AT stahldaniel clusteranalysis

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