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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

Chapter 2. Advanced Clustering Methods

Note

Learning Objectives

By the end of this chapter, you will be able to:

  • Perform k-modes clustering

  • Implement DBSCAN clustering

  • Perform hierarchical clustering and record clusters in a dendrogram

  • Perform divisive and agglomerative clustering

Note

In this chapter, we will have a look at some advanced clustering methods and how to record clusters in a dendrogram.

You have been reading a chapter from
Applied Unsupervised Learning with R
Published in: Mar 2019
Publisher:
ISBN-13: 9781789956399
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