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Grouping multidimensional data recent advances in clustering /
"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. Th...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2006.
Berlin ; New York : [2006] |
| Physical Description: |
1 online resource (xii, 268 pages) : illustrations. |
| Subjects: | |
| Online Access: | SpringerLink - Click here for access |
| 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. |
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| Access Restrictions: |
University staff and students only. Requires University Computer Account login off-campus. |
| Language Note: |
English. |
| Physical Description: |
1 online resource (xii, 268 pages) : illustrations. |
| Bibliography: | Includes bibliographical references (pages 239-264) and index. |
| ISBN: | 9783540283492 3540283498 354028348X 9783540283485 6610460884 9786610460885 3642066542 9783642066542 |
| Access: | University staff and students only. Requires University Computer Account login off-campus. |