Coverart for item
The Resource Grouping multidimensional data : recent advances in clustering, Jacob Kogan, Charles Nicholas, Marc Teboulle (eds.), (electronic book)

Grouping multidimensional data : recent advances in clustering, Jacob Kogan, Charles Nicholas, Marc Teboulle (eds.), (electronic book)

Label
Grouping multidimensional data : recent advances in clustering
Title
Grouping multidimensional data
Title remainder
recent advances in clustering
Statement of responsibility
Jacob Kogan, Charles Nicholas, Marc Teboulle (eds.)
Contributor
Subject
Language
eng
Summary
"Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, optimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview." "The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas."--Jacket
Member of
Is part of
Cataloging source
GW5XE
Dewey number
519.5/3
Illustrations
illustrations
Index
index present
LC call number
QA278
LC item number
.G82 2006eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1954-
  • 1957-
http://library.link/vocab/relatedWorkOrContributorName
  • Kogan, Jacob
  • Nicholas, Charles K.
  • Teboulle, M
http://library.link/vocab/subjectName
  • Cluster analysis
  • Data mining
  • Computer Science
  • Information Storage and Retrieval
  • Math Applications in Computer Science
  • Pattern Recognition
Label
Grouping multidimensional data : recent advances in clustering, Jacob Kogan, Charles Nicholas, Marc Teboulle (eds.), (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 239-264) and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Clustering with entropy-like k-means algorithms
  • M. Teboulle, P. Berkhin, I. Dhillon, Y. Guan and J. Kogan
  • Sampling methods for building initial partitions
  • Z. Volkovich, J. Kogan and C. Nicholas
  • TMG : a MATLAB toolbox for generating term-document matrices from text collections
  • D. Zeimpekis and E. Gallopoulos
  • Criterion functions for clustering on high-dimensional data
  • Y. Zhao and G. Karypis
  • Star clustering algorithm for information organization
  • J.A. Aslam, E. Pelekhov and D. Rus
  • survey of clustering data mining techniques
  • P. Berkhin
  • Similarity-based text clustering : a comparative study
  • J. Ghosh and A. Strehi
  • Clustering very large data sets with principal direction divisive partitioning
  • D. Littau and D. Boley
Control code
SPR262692110
Dimensions
unknown
Extent
1 online resource (xii, 268 pages)
Form of item
online
Isbn
9783540283485
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote
Label
Grouping multidimensional data : recent advances in clustering, Jacob Kogan, Charles Nicholas, Marc Teboulle (eds.), (electronic book)
Publication
Bibliography note
Includes bibliographical references (pages 239-264) and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Clustering with entropy-like k-means algorithms
  • M. Teboulle, P. Berkhin, I. Dhillon, Y. Guan and J. Kogan
  • Sampling methods for building initial partitions
  • Z. Volkovich, J. Kogan and C. Nicholas
  • TMG : a MATLAB toolbox for generating term-document matrices from text collections
  • D. Zeimpekis and E. Gallopoulos
  • Criterion functions for clustering on high-dimensional data
  • Y. Zhao and G. Karypis
  • Star clustering algorithm for information organization
  • J.A. Aslam, E. Pelekhov and D. Rus
  • survey of clustering data mining techniques
  • P. Berkhin
  • Similarity-based text clustering : a comparative study
  • J. Ghosh and A. Strehi
  • Clustering very large data sets with principal direction divisive partitioning
  • D. Littau and D. Boley
Control code
SPR262692110
Dimensions
unknown
Extent
1 online resource (xii, 268 pages)
Form of item
online
Isbn
9783540283485
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote

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