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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
book

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

by Thomas Mailund
March 2017
Beginner
352 pages
10h 24m
English
Apress
Content preview from Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

© Thomas Mailund 2017

Thomas Mailund, Beginning Data Science in R, 10.1007/978-1-4842-2671-1_7

7. Unsupervised Learning

Thomas Mailund

(1)Aarhus, Denmark

For supervised learning , we have one or more targets we want to predict using a set of explanatory variables. But not all data analysis consists of making prediction models. Sometimes we are just trying to find out what structure is actually in the data we analyze. There can be several reasons for this. Sometimes unknown structures can tell us more about the data. Sometimes we want to explicitly avoid an unknown structure (if we have datasets that are supposed to be similar, we don’t want to discover later that there are systematic differences). Whatever the reason, unsupervised learning concerns ...

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Publisher Resources

ISBN: 9781484226711Purchase book