Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 207,49
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 211,53
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 211,69
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 237,68
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Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 222,22
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Añadir al carritoHardcover. Condición: New. New. book.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319730398 ISBN 13: 9783319730394
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 181,89
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2018
ISBN 10: 3319730398 ISBN 13: 9783319730394
Librería: Revaluation Books, Exeter, Reino Unido
EUR 280,15
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Añadir al carritoHardcover. Condición: Brand New. 317 pages. 9.25x6.25x0.75 inches. In Stock.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319730398 ISBN 13: 9783319730394
Librería: moluna, Greven, Alemania
EUR 153,73
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Expands methods of knowledge discovery based on visual means  Generates new lossless visual representations of n-D data in 2-D that fully preserve n-D data with a focus on machine learning/data mining goals, in contrast to a generic vis.
Idioma: Inglés
Publicado por Springer International Publishing Jan 2018, 2018
ISBN 10: 3319730398 ISBN 13: 9783319730394
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 181,89
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science. 340 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Jan 2018, 2018
ISBN 10: 3319730398 ISBN 13: 9783319730394
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 181,89
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 252,82
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 245,51
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.