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Book 2006

Grouping Multidimensional Data

Recent Advances in Clustering

Editors:

  • Jacob Kogan,
  • Charles Nicholas,
  • Marc Teboulle
  • … show all 3 hide
ISBN: 978-3-540-28348-5 (Print) 978-3-540-28349-2 (Online)
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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XII

    Download PDF (132KB)
  2. No Access

    Chapter

    Pages 1-23

    The Star Clustering Algorithm for Information Organization

    J.A. Aslam, E. Pelekhov, D. Rus
  3. No Access

    Chapter

    Pages 25-71

    A Survey of Clustering Data Mining Techniques

    P. Berkhin
  4. No Access

    Chapter

    Pages 73-97

    Similarity-Based Text Clustering: A Comparative Study

    J. Ghosh, A. Strehl
  5. No Access

    Chapter

    Pages 99-126

    Clustering Very Large Data Sets with Principal Direction Divisive Partitioning

    D. Littau, D. Boley
  6. No Access

    Chapter

    Pages 127-160

    Clustering with Entropy-Like k-Means Algorithms

    M. Teboulle, P. Berkhin, I. Dhillon, Y. Guan, J. Kogan
  7. No Access

    Chapter

    Pages 161-185

    Sampling Methods for Building Initial Partitions

    Z. Volkovich, J. Kogan, C. Nicholas
  8. No Access

    Chapter

    Pages 187-210

    TMG: A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections

    D. Zeimpekis, E. Gallopoulos
  9. No Access

    Chapter

    Pages 211-237

    Criterion Functions for Clustering on High-Dimensional Data

    Y. Zhao, G. Karypis
  10. Back Matter

    Pages 239-268

    Download PDF (213KB)
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Book Title
Grouping Multidimensional Data
Book Subtitle
Recent Advances in Clustering
Copyright
2006
DOI
10.1007/3-540-28349-8
Print ISBN
978-3-540-28348-5
Online ISBN
978-3-540-28349-2
Publisher
Springer Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
Additional Links
  • About this Book
Topics
  • Data Structures, Cryptology and Information Theory
  • Information Storage and Retrieval
  • Statistical Theory and Methods
  • Math Applications in Computer Science
  • Statistics and Computing/Statistics Programs
  • Pattern Recognition
Industry Sectors
  • Pharma
  • Materials & Steel
  • Automotive
  • Biotechnology
  • Finance, Business & Banking
  • Electronics
  • IT & Software
  • Telecommunications
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eBook Packages
  • Computer Science
Editors
  • Jacob Kogan (1) (2)
  • Charles Nicholas (3)
  • Marc Teboulle (4)
Editor Affiliations
  • 1. Department of Mathematics and Statistics, University of Maryland Baltimore County
  • 2. Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County
  • 3. Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County
  • 4. School of Mathematical Sciences, Tel-Aviv University

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