Applied Unsupervised Learning with R
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Chapter 2
Advanced Clustering Methods

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

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