The Resource Grouping Multidimensional Data : Recent Advances in Clustering, edited by Jacob Kogan, Charles Nicholas, Marc Teboulle, (electronic resource)

Grouping Multidimensional Data : Recent Advances in Clustering, edited by Jacob Kogan, Charles Nicholas, Marc Teboulle, (electronic resource)

Label
Grouping Multidimensional Data : Recent Advances in Clustering
Title
Grouping Multidimensional Data
Title remainder
Recent Advances in Clustering
Statement of responsibility
edited by Jacob Kogan, Charles Nicholas, Marc Teboulle
Contributor
Editor
Editor
Subject
Language
  • eng
  • eng
Summary
Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. 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, opimization 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
Dewey number
  • 005.75
  • 519.5/3
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • tuZybBLJFas
  • UcqNgDkpO_s
  • 52fWtN_66R0
Language note
English
LC call number
QA76.9.D35
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Kogan, Jacob.
  • Nicholas, Charles.
  • Teboulle, Marc.
http://library.link/vocab/subjectName
  • Data structures (Computer scienc
  • Information storage and retrieval systems
  • Mathematical statistics
  • Computer science
  • Optical pattern recognition
  • Data Structures and Information Theory
  • Information Storage and Retrieval
  • Statistical Theory and Methods
  • Math Applications in Computer Science
  • Statistics and Computing/Statistics Programs
  • Pattern Recognition
Label
Grouping Multidimensional Data : Recent Advances in Clustering, edited by Jacob Kogan, Charles Nicholas, Marc Teboulle, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [239]-264) and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
The Star Clustering Algorithm for Information Organization -- A Survey of Clustering Data Mining Techniques -- Similarity-Based Text Clustering: A Comparative Study -- Clustering Very Large Data Sets with Principal Direction Divisive Partitioning -- Clustering with Entropy-Like k-Means Algorithms -- Sampling Methods for Building Initial Partitions -- TMG: A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections -- Criterion Functions for Clustering on High-Dimensional Data
Dimensions
unknown
Edition
1st ed. 2006.
Extent
1 online resource (276 p.)
Form of item
online
Isbn
9786610460885
Media category
computer
Media type code
  • c
Other control number
10.1007/3-540-28349-8
Specific material designation
remote
System control number
  • (CKB)1000000000236500
  • (EBL)304430
  • (OCoLC)262692110
  • (SSID)ssj0000770479
  • (PQKBManifestationID)12333840
  • (PQKBTitleCode)TC0000770479
  • (PQKBWorkID)10785973
  • (PQKB)10095274
  • (SSID)ssj0000165940
  • (PQKBManifestationID)11924537
  • (PQKBTitleCode)TC0000165940
  • (PQKBWorkID)10146487
  • (PQKB)11368770
  • (DE-He213)978-3-540-28349-2
  • (MiAaPQ)EBC304430
  • (EXLCZ)991000000000236500
Label
Grouping Multidimensional Data : Recent Advances in Clustering, edited by Jacob Kogan, Charles Nicholas, Marc Teboulle, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [239]-264) and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
The Star Clustering Algorithm for Information Organization -- A Survey of Clustering Data Mining Techniques -- Similarity-Based Text Clustering: A Comparative Study -- Clustering Very Large Data Sets with Principal Direction Divisive Partitioning -- Clustering with Entropy-Like k-Means Algorithms -- Sampling Methods for Building Initial Partitions -- TMG: A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections -- Criterion Functions for Clustering on High-Dimensional Data
Dimensions
unknown
Edition
1st ed. 2006.
Extent
1 online resource (276 p.)
Form of item
online
Isbn
9786610460885
Media category
computer
Media type code
  • c
Other control number
10.1007/3-540-28349-8
Specific material designation
remote
System control number
  • (CKB)1000000000236500
  • (EBL)304430
  • (OCoLC)262692110
  • (SSID)ssj0000770479
  • (PQKBManifestationID)12333840
  • (PQKBTitleCode)TC0000770479
  • (PQKBWorkID)10785973
  • (PQKB)10095274
  • (SSID)ssj0000165940
  • (PQKBManifestationID)11924537
  • (PQKBTitleCode)TC0000165940
  • (PQKBWorkID)10146487
  • (PQKB)11368770
  • (DE-He213)978-3-540-28349-2
  • (MiAaPQ)EBC304430
  • (EXLCZ)991000000000236500

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