Model based clustering classification data par bouveyron charles

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Model-Based Clustering and Classification for Data Science: With Applications in R

Charles Bouveyron

Langue : anglais

Edité par Cambridge University Press, 2019

110849420X / 9781108494205

Série : Livre 1 sur 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Model-Based Clustering and Classification for Data Science (Hardcover)

Charles Bouveyron

Langue : anglais

Edité par Cambridge University Press, Cambridge, 2019

110849420X / 9781108494205

Série : Livre 1 sur 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Hardcover. Etat : 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.…

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.

Langue : anglais

Edité par Cambridge University Press, 2019

110849420X / 9781108494205

Série : Livre 1 sur 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Model-Based Clustering and Classification for Data Science: With Applications in R

Bouveyron, Charles|Celeux, Gilles|Murphy, T. Brendan

Langue : anglais

Edité par CAMBRIDGE, 2019

110849420X / 9781108494205

Série : Livre 1 sur 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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

Charles Bouveyron (u. a.)

Langue : anglais

Edité par Cambridge University Press, 2019

110849420X / 9781108494205

Série : Livre 1 sur 64 - Cambridge Series in Statistical and Probabilistic Mathematics

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Model based clustering classification data par bouveyron charles (21 résultats)

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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)

Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)

Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)

Model-Based Clustering and Classification for Data Science : With Applications in R

Model-Based Clustering and Classification for Data Science

Model-Based Clustering and Classification for Data Science

Model-Based Clustering and Classification for Data Science : With Applications in R

Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)

Model-Based Clustering and Classification for Data Science : With Applications in R

Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)

Model-Based Clustering and Classification for Data Science : With Applications in R

Model-Based Clustering and Classification for Data Science: With Applications in R

Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)

Model-Based Clustering and Classification for Data Science: With Applications in R

Model-based Clustering and Classification for Data Science: With Applications in R

Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)

Model-Based Clustering and Classification for Data Science: With Applications in R

Model-Based Clustering and Classification for Data Science (Hardcover)

Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)

Model-Based Clustering and Classification for Data Science: With Applications in R

Model-based Clustering and Classification for Data Science