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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.
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Über die Autorin bzw. den Autor
Prashanth 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 of work experience in that area.
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Clustering Categorical data
Verlag:
LAP LAMBERT Academic Publishing Sep 2012, 2012
ISBN 10: 3659258601
ISBN 13: 9783659258602
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. 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. Artikel-Nr. 9783659258602
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Clustering Categorical Data: For Exploratory Data Analysis
Verlag:
Lap Lambert Academic Publishing, 2012
ISBN 10: 3659258601
ISBN 13: 9783659258602
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Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Artikel-Nr. 3659258601
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