Model Based Clustering Classification Data by Bouveyron Charles (27 results)
Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press CUP 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Bouveyron, Charles, Celeux, Gilles, Murphy, T. Brendan, Raftery, Adrian E.
Published by Cambridge University Press
- Hardcover
Seller: Academic Book Solutions, Medford, U.S.A.Academic Book Solutions
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Model-Based Clustering and Classification for Data Science : With Applications in R
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: California Books, Miami, U.S.A.California Books
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Model-Based Clustering and Classification for Data Science : With Applications in R
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Model-Based Clustering and Classification for Data Science : With Applications in R
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Model-Based Clustering and Classification for Data Science: With Applications in R: 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Charles Bouveyron,Gilles Celeux,T. Brendan Murphy,Adrian E. Raftery
Language: English
Published by Cambridge University Press 2019-07-25 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Model-Based Clustering and Classification for Data Science : With Applications in R
Bouveyron, Charles; Celeux, Gilles; Murphy, T. Brendan; Raftery, Adrian E.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Condition: New. 2019. Hardcover. . . . . .
Model-Based Clustering and Classification for Data Science
T. Brendan Murphy, Adrian E. Raftery, Charles Bouveyron, Gilles Celeux
Language: English
Published by Cambridge University Press, GB 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Rarewaves.com USA, London, United KingdomRarewaves.com USA
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Hardback. Condition: New. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations…, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.
Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Bouveyron, Charles, Celeux, Gilles, Murphy, T. Brendan, Raft
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Mispah books, Redhill, United KingdomMispah books
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Hardcover. Condition: New. New. book.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Kennys Bookstore, Olney, U.S.A.Kennys Bookstore
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Condition: New. 2019. Hardcover. . . . . . Books ship from the US and Ireland.
Language: English
Published by CAMBRIDGE 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction .
Model-based Clustering and Classification for Data Science: With Applications in R
Bouveyron, Charles/ Celeux, Gilles/ Murphy, T. Brendan/ Raftery, Adrian E.
Language: English
Published by Cambridge Univ Pr 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.
Model-Based Clustering and Classification for Data Science
T. Brendan Murphy, Adrian E. Raftery, Charles Bouveyron, Gilles Celeux
Language: English
Published by Cambridge University Press, GB 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Hardback. Condition: New. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations…, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.
Language: English
Published by Cambridge University Press, Cambridge 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
- Print on Demand
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Hardcover. Condition: new. Hardcover. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified…observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics. This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Model-based Clustering and Classification for Data Science: With Applications in R
Bouveyron, Charles/ Celeux, Gilles/ Murphy, T. Brendan/ Raftery, Adrian E.
Language: English
Published by Cambridge Univ Pr 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Cambridge University Press, Cambridge 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Hardcover. Condition: new. Hardcover. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified…observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics. This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, Cambridge 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
- Print on Demand
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Hardcover. Condition: new. Hardcover. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified…observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics. This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
More imagesLanguage: English
Published by Cambridge University Press 2019
Series: Cambridge Series in Statistical and Probabilistic Mathematics, Book 1 of 46. Book 1 of 46 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
- Print on Demand
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Buch. Condition: Neu. Model-based Clustering and Classification for Data Science | Charles Bouveyron (u. a.) | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9781108494205 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Dem…and.
