Robust Cluster Analysis Variable by Ritter Gunter (23 results)
Language: English
Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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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.
Language: English
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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 | Anb…ieter: preigu.
Language: English
Published by Chapman and Hall/CRC, 2014
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
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Published by Chapman and Hall/CRC, 2014
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Published by Taylor & Francis Group, 2014
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Condition: New. pp. 392 Index.
Language: English
Published by Chapman and Hall/CRC, 2014
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- Hardcover
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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.
Language: English
Published by Taylor & Francis Group, 2014
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Language: English
Published by Taylor & Francis Inc Sep 2014, 2014
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Buch. Condition: Neu. Neuware.
Language: English
Published by Taylor & Francis, Chapman And Hall/CRC, 2024
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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
Series: ISSN, Book 51 of 110. Book 51 of 110 - ISSN
- Softcover
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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, Gunte…r 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
Series: ISSN, Book 51 of 110. Book 51 of 110 - ISSN
- Hardcover
- Print on Demand
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Condition: New. pp. 392 This item is printed on demand.
