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Kogan, Jacob / Nicholas, Charles / Teboulle, Marc (eds.):

Grouping Multidimensional Data - hardcover

2005, ISBN: 9783540283485

[ED: Hardcover], [PU: Springer, Berlin], Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to dis… More...

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Grouping Multidimensional Data Recent Advances in Clustering - Kogan, Jacob (Herausgeber); Teboulle, Marc (Herausgeber); Nicholas, Charles (Herausgeber)
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Kogan, Jacob (Herausgeber); Teboulle, Marc (Herausgeber); Nicholas, Charles (Herausgeber):

Grouping Multidimensional Data Recent Advances in Clustering - hardcover

2005, ISBN: 354028348X

2006 Gebundene Ausgabe Cluster (EDV), Grid Computing, Analyse / Datenanalyse, Datenanalyse, Informationstheorie, Wahrscheinlichkeitsrechnung und Statistik, Mathematische und statistisch… More...

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Kogan, Jacob [Editor]; Nicholas, Charles [Editor]; Teboulle, Marc [Editor];:
Grouping Multidimensional Data: Recent Advances in Clustering - hardcover

2005

ISBN: 9783540283485

Hardcover, Neubuch, Size: 9x6x0; New. In shrink wrap. Looks like an interesting title!, [PU: Springer]

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Kogan, Jacob [Editor]; Nicholas, Charles [Editor]; Teboulle, Marc [Editor];:
Grouping Multidimensional Data: Recent Advances in Clustering - hardcover

ISBN: 9783540283485

Springer. Hardcover. New. New. In shrink wrap. Looks like an interesting title!, Springer, 6

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Grouping Multidimensional Data: Recent Advances in Clustering - hardcover

2005, ISBN: 354028348X

[EAN: 9783540283485], Neubuch, [PU: Springer], Well packaged and promptly shipped from California. US veteran operated., Books

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Grouping Multidimensional Data
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9783540283485


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. TOC:Foreword (J. Han).- The Star Clustering Algorithm for Information Organization (J. A. Aslam, E. Pelekhov, D. Rus).- A Survey of Clustering Data Mining Techniques (P. Berkhin).- Similarity-based Text Clustering: A Comparitive Study (J. Ghosh, A. Strehl).- Clustering Very Large Data Sets with Principal Direction Divisive Partitioning (D. Littau, D. Boley).- Clustering with Entropy-like k-means ALgorithms (M. Teboulle, P. Berkhin, I. Dhillon, Y. Guan, J. Kogan).- Sampling Methods for Building Initial Partitions (Z. Volkovich, J. Kogan, Ch. Nicholas).- TMG: A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections (D. Zeimpekis, E. Gallopoulos).- Criterion Functions for Clustering on High Dimensional Data (Y. Zhao, G. Karypis).- Index.

Details of the book - Grouping Multidimensional Data


EAN (ISBN-13): 9783540283485
ISBN (ISBN-10): 354028348X
Hardcover
Publishing year: 2005
Publisher: Berlin, Springer, 2005.

Book in our database since 2007-05-13T18:20:48+01:00 (London)
Detail page last modified on 2023-07-04T20:22:01+01:00 (London)
ISBN/EAN: 9783540283485

ISBN - alternate spelling:
3-540-28348-X, 978-3-540-28348-5
Alternate spelling and related search-keywords:
Book author: kogan, datta, nicholas
Book title: grouping multidimensional data, recent advances

Information from Publisher

Author: Jacob Kogan; Charles Nicholas; Marc Teboulle
Title: Grouping Multidimensional Data - Recent Advances in Clustering
Publisher: Springer; Springer Berlin
268 Pages
Publishing year: 2005-12-16
Berlin; Heidelberg; DE
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XII, 268 p.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; Excel; LA; MATLAB; algorithms; classification; clustering algorithm; correlation; data analysis; data clustering; data mining; text clustering; text mining; Data Structures and Information Theory; Information Storage and Retrieval; Statistical Theory and Methods; Mathematical Applications in Computer Science; Statistics and Computing; Automated Pattern Recognition; Informationstheorie; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Wahrscheinlichkeitsrechnung und Statistik; Theoretische Informatik; Mathematische und statistische Software; Mustererkennung; EA; BC

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.
Includes supplementary material: sn.pub/extras

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