Grouping Multidimensional Data
Recent Advances in Clustering
Editors:
- Jacob Kogan,
- Charles Nicholas,
- Marc Teboulle
- … show all 3 hide
Table of contents (8 chapters)
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Front Matter
Pages I-XII
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Chapter
Pages 1-23
The Star Clustering Algorithm for Information Organization
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Chapter
Pages 25-71
A Survey of Clustering Data Mining Techniques
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Chapter
Pages 73-97
Similarity-Based Text Clustering: A Comparative Study
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Chapter
Pages 99-126
Clustering Very Large Data Sets with Principal Direction Divisive Partitioning
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Chapter
Pages 127-160
Clustering with Entropy-Like k-Means Algorithms
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Chapter
Pages 161-185
Sampling Methods for Building Initial Partitions
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Chapter
Pages 187-210
TMG: A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections
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Chapter
Pages 211-237
Criterion Functions for Clustering on High-Dimensional Data
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Back Matter
Pages 239-268
- 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
- Topics
- Industry Sectors
- eBook Packages
- Editors
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- Jacob Kogan (1) (2)
- Charles Nicholas (3)
- Marc Teboulle (4)
- Editor Affiliations
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- 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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