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Condition: New. Dr. Gunter Ritter is an emeritus professor in the Department of Mathematics and Computer Science at the University of Passau. He is the author and coauthor of numerous research papers in scientific journals in the areas of measure theory.
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Taschenbuch. Condition: Neu. Robust Cluster Analysis and Variable Selection | Gunter Ritter | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Taylor & Francis | EAN 9781032920665 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439857962 ISBN 13: 9781439857960
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Language: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439857962 ISBN 13: 9781439857960
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439857962 ISBN 13: 9781439857960
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Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439857962 ISBN 13: 9781439857960
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ISBN 10: 1439857962 ISBN 13: 9781439857960
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Published by Chapman and Hall/CRC, 2014
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Gebunden. Condition: New. Dr. Gunter Ritter is an emeritus professor in the Department of Mathematics and Computer Science at the University of Passau. He is the author and coauthor of numerous research papers in scientific journals in the areas of measure theory.
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Published by Taylor & Francis Group, 2014
ISBN 10: 1439857962 ISBN 13: 9781439857960
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Language: English
Published by Taylor & Francis Inc Sep 2014, 2014
ISBN 10: 1439857962 ISBN 13: 9781439857960
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Published by Taylor & Francis, Chapman And Hall/CRC, 2024
ISBN 10: 1032920661 ISBN 13: 9781032920665
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals.Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals. 394 pp. Englisch.
Language: English
Published by Taylor & Francis, Chapman And Hall/CRC, 2024
ISBN 10: 1032920661 ISBN 13: 9781032920665
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals.Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals.
Language: English
Published by Taylor & Francis Group, 2014
ISBN 10: 1439857962 ISBN 13: 9781439857960
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 392 This item is printed on demand.