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Applied Unsupervised Learning with R

You're reading from   Applied Unsupervised Learning with R Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

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Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789956399
Length 320 pages
Edition 1st Edition
Languages
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Authors (2):
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Bradford Tuckfield Bradford Tuckfield
Author Profile Icon Bradford Tuckfield
Bradford Tuckfield
Alok Malik Alok Malik
Author Profile Icon Alok Malik
Alok Malik
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Toc

Latent Variable Models – Factor Analysis


This section will cover latent variable models. Latent variable models attempt to express data in terms of a small number of variables that are hidden or latent. By finding the latent variables that correspond to a dataset, we can better understand the data and potentially even understand where it came from or how it was generated.

Consider students receiving grades in a wide variety of classes, from math to music to foreign languages to chemistry. Psychologists or educators may be interested in using this data to better understand human intelligence. There are several different theories of intelligence that researchers might want to test in the data, for example:

  • Theory 1: There are two different types of intelligence, and people who possess one type will excel in one set of classes, while people who possess the other type will excel in other classes.

  • Theory 2: There is only one type of intelligence, and people who possess it will excel at all types...

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