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The Resource Clustering methodology for symbolic data, Lynne Billard, Edwin Diday

Clustering methodology for symbolic data, Lynne Billard, Edwin Diday

Label
Clustering methodology for symbolic data
Title
Clustering methodology for symbolic data
Statement of responsibility
Lynne Billard, Edwin Diday
Creator
Contributor
Author
Subject
Language
eng
Summary
This book presents all of the latest developments in the field of clustering methodology for symbolic data―paying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Clustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorDate
1943-
http://library.link/vocab/creatorName
Billard, L.
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Diday, E.
Series statement
Wiley series in computational statistics
http://library.link/vocab/subjectName
  • Cluster analysis
  • Multivariate analysis
Label
Clustering methodology for symbolic data, Lynne Billard, Edwin Diday
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Symbolic data: basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measures: modal data -- General clustering techniques -- Partitioning techniques -- Divisive hierarchical clustering -- Agglomerative hierarchical clustering
Control code
on1097466739
Dimensions
24 cm.
Extent
vii, 340 pages
Isbn
9780470713938
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
System control number
(OCoLC)1097466739
Label
Clustering methodology for symbolic data, Lynne Billard, Edwin Diday
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Symbolic data: basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measures: modal data -- General clustering techniques -- Partitioning techniques -- Divisive hierarchical clustering -- Agglomerative hierarchical clustering
Control code
on1097466739
Dimensions
24 cm.
Extent
vii, 340 pages
Isbn
9780470713938
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
System control number
(OCoLC)1097466739

Library Locations

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      43.803074 11.283055
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