Verlag: LAP LAMBERT Academic Publishing Sep 2012, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -Data clustering is an important technique for exploratory data analysis and has been the focus of substantial research in several domains for decades among which Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points that are not sampled will not have their labels after the normal process. Although there is a straightforward approach in the numerical domain, the problem of how to allocate those unlabeled data points into proper clusters remains as a challenging issue in the categorical domain.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
Sprache: Englisch
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Verlag: Lap Lambert Academic Publishing, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
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In den WarenkorbPaperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
Sprache: Englisch
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Devarakonda Prashanth KumarPrashanth Kumar Devarakonda completed both Masters and Bachelors program in Computer Science and Engineering in 2010 and 2005 respectively. Keen interests are in the field of Data Mining and has Eight years.
Verlag: LAP LAMBERT Academic Publishing Sep 2012, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data clustering is an important technique for exploratory data analysis and has been the focus of substantial research in several domains for decades among which Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points that are not sampled will not have their labels after the normal process. Although there is a straightforward approach in the numerical domain, the problem of how to allocate those unlabeled data points into proper clusters remains as a challenging issue in the categorical domain. 52 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data clustering is an important technique for exploratory data analysis and has been the focus of substantial research in several domains for decades among which Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points that are not sampled will not have their labels after the normal process. Although there is a straightforward approach in the numerical domain, the problem of how to allocate those unlabeled data points into proper clusters remains as a challenging issue in the categorical domain.
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
Sprache: Englisch
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Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659258601 ISBN 13: 9783659258602
Sprache: Englisch
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In den WarenkorbZustand: New. Print on Demand.