Title: Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Publisher: Cambridge University Press
Publication Date: 2019
Language: English
ISBN 10: 110849420X
ISBN 13: 9781108494205
Binding: Hardcover
Condition: New

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Synopsis

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...

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