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Grouping Multidimensional Data: Recent Advances in Clustering
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Grouping Multidimensional Data: Recent Advances In Clustering (Hb)
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Edizione InternazionaleGROUPING MULTIDIMENSIONAL DATA RECENT ADVANCES IN CLUSTERING (HB) 2006
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Aggiungi al carrelloCondizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Grouping Multidimensional Data
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Grouping Multidimensional Data
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Grouping Multidimensional Data
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Grouping Multidimensional Data
Da: Biblios, Frankfurt am main, HESSE, Germania
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Grouping Multidimensional Data
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Aggiungi al carrelloCondizione: Used. pp. xii + 268 Illus.
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Grouping Multidimensional Data: Recent Advances in Clustering
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Grouping Multidimensional Data : Recent Advances in Clustering
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | 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
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Grouping Multidimensional Data
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 284.
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Grouping Multidimensional Data: Recent Advances in Clustering
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 142,33
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Aggiungi al carrelloTaschenbuch. Condizione: 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 : Recent Advances in Clustering
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: 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
Lingua: Inglese
Editore: Springer, Springer Spektrum, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: 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.
-
Grouping Multidimensional Data : Recent Advances in Clustering
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 172,38
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Grouping Multidimensional Data: Recent Advances in Clustering
Da: Mispah books, Redhill, SURRE, Regno Unito
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Grouping Multidimensional Data : Recent Advances in Clustering
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Grouping Multidimensional Data (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 86,24
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Grouping Multidimensional Data
Lingua: Inglese
Editore: Springer Berlin Heidelberg Dez 2005, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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EUR 106,99
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Aggiungi al carrelloBuch. Condizione: 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
Lingua: Inglese
Editore: Springer Berlin Heidelberg Feb 2010, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 106,99
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Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
EUR 92,27
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
EUR 92,27
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: 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
Da: Majestic Books, Hounslow, Regno Unito
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EUR 148,72
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 284 53 Illus.
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Grouping Multidimensional Data
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 150,67
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 284.
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Grouping Multidimensional Data
Lingua: Inglese
Editore: Springer, Springer Vieweg Dez 2005, 2005
ISBN 10: 354028348X ISBN 13: 9783540283485
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. This book brings together recent advances in clustering large and high-dimension data, 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.
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Grouping Multidimensional Data
Lingua: Inglese
Editore: Springer, Springer Vieweg Feb 2010, 2010
ISBN 10: 3642066542 ISBN 13: 9783642066542
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 106,99
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. This book brings together recent advances in clustering large and high-dimension data, 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.
