Deutsch
Deutschland
Anmelden
Tipp von eurobuch.de
Ähnliche Bücher
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Buch verkaufen
Anbieter, die das Buch mit der ISBN 9783540283485 ankaufen:
Suchtools
Buchtipps
Aktuelles
Werbung
FILTER
- 0 Ergebnisse
Kleinster Preis: 42,99 €, größter Preis: 129,99 €, Mittelwert: 100,12 €
Grouping Multidimensional Data: Recent Advances in Clustering - Kogan, Jacob / Nicholas, Charles / Teboulle, Marc
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Kogan, Jacob / Nicholas, Charles / Teboulle, Marc:
Grouping Multidimensional Data: Recent Advances in Clustering - gebrauchtes Buch

ISBN: 9783540283485

ID: 7951700

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. Grouping Multidimensional Data: Recent Advances in Clustering Kogan, Jacob / Nicholas, Charles / Teboulle, Marc, Springer

gebrauchtes bzw. antiquarisches Buch Betterworldbooks.com
Versandkosten:zzgl. Versandkosten.
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Grouping Multidimensional Data: Recent Advances in Clustering
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Grouping Multidimensional Data: Recent Advances in Clustering - neues Buch

ISBN: 9783540283485

ID: 978354028348

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. Books, Computers, Grouping Multidimensional Data: Recent Advances in Clustering Books>Computers, Springer Berlin Heidelberg

Neues Buch Indigo.ca
new Free shipping on orders above $25 Versandkosten:plus shipping costs, zzgl. Versandkosten
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Grouping Multidimensional Data - Jacob Kogan#Charles Nicholas#Marc Teboulle
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Jacob Kogan#Charles Nicholas#Marc Teboulle:
Grouping Multidimensional Data - neues Buch

ISBN: 9783540283485

ID: 758567789

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. Recent Advances in Clustering Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

Neues Buch Thalia.de
No. 5095429 Versandkosten:, Versandfertig in 3 - 5 Tagen, DE (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Grouping Multidimensional Data - Kogan, Jacob; Nicholas, Charles; Teboulle, Marc
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Kogan, Jacob; Nicholas, Charles; Teboulle, Marc:
Grouping Multidimensional Data - neues Buch

ISBN: 9783540283485

ID: 304430

Brings together advances in clustering large and high-dimension data, with particular emphasis on linear algebra tools, optimization methods, and statistical techniques. Written by researchers from both academia and industry, this book covers theoretical basics as well as application and evaluation of algorithms. Computers Computers, Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Neues Buch Ebooks.com
Versandkosten: EUR 0.00
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Grouping Multidimensional Data - Jacob Kogan; Charles Nicholas; Marc Teboulle
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Jacob Kogan; Charles Nicholas; Marc Teboulle:
Grouping Multidimensional Data - gebunden oder broschiert

2005, ISBN: 9783540283485

ID: 6955214

Recent Advances in Clustering, [ED: 2006], Hardcover, Buch, [PU: Springer Berlin]

Neues Buch Lehmanns.de
Versandkosten:Versand in 7-9 Tagen, , Versandkostenfrei innerhalb der BRD (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.

Details zum Buch
Grouping Multidimensional Data

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.

Detailangaben zum Buch - Grouping Multidimensional Data


EAN (ISBN-13): 9783540283485
ISBN (ISBN-10): 354028348X
Gebundene Ausgabe
Erscheinungsjahr: 2005
Herausgeber: Berlin, Springer, 2005.

Buch in der Datenbank seit 13.05.2007 19:20:48
Buch zuletzt gefunden am 08.11.2017 09:45:38
ISBN/EAN: 9783540283485

ISBN - alternative Schreibweisen:
3-540-28348-X, 978-3-540-28348-5


< zum Archiv...
Benachbarte Bücher