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Condition: Very Good. . . All orders guaranteed and ship within 24 hours. Before placing your order for please contact us for confirmation on the book's binding. Check out our other listings to add to your order for discounted shipping.
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Condition: New. pp. xii + 268 1st Edition.
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Condition: New. pp. xii + 268 Illus.
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Condition: New. pp. xii + 268.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Grouping Multidimensional Data: Recent Advances in Clustering
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Grouping Multidimensional Data : Recent Advances in Clustering
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 143.66
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Condition: New. pp. 284.
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Grouping Multidimensional Data: Recent Advances in Clustering
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. Grouping Multidimensional Data | Recent Advances in Clustering | Jacob Kogan (u. a.) | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9783642066542 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Grouping Multidimensional Data
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2005, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.
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Grouping Multidimensional Data : Recent Advances in Clustering
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Grouping Multidimensional Data : Recent Advances in Clustering
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Grouping Multidimensional Data : Recent Advances in Clustering
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 196.78
US$ 19.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. Like New. book.
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Grouping Multidimensional Data : Recent Advances in Clustering
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
Language: English
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Condition: As New. Unread book in perfect condition.
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Grouping Multidimensional Data
Published by Springer Berlin Heidelberg Dez 2005, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch.
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Grouping Multidimensional Data
Published by Springer Berlin Heidelberg Feb 2010, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch.
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Grouping Multidimensional Data
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
Language: English
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jacob Kogan is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland Baltimore County. Dr. Kogan received his Ph.D. in Mathematics from Weizmann Institute of Science, and has held teaching and research posit.
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Grouping Multidimensional Data
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jacob Kogan is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland Baltimore County. Dr. Kogan received his Ph.D. in Mathematics from Weizmann Institute of Science, and has held teaching and research posit.
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Condition: New. Print on Demand pp. 284 53 Illus.
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Condition: New. PRINT ON DEMAND pp. 284.
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Grouping Multidimensional Data | Recent Advances in Clustering
Published by Springer-Verlag GmbH, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
Language: English
Buch. Condition: Neu. Grouping Multidimensional Data | Recent Advances in Clustering | Jacob Kogan (u. a.) | Buch | xii | Englisch | 2005 | Springer-Verlag GmbH | EAN 9783540283485 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
