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R Data Analysis Cookbook - Second Edition by Kuntal Ganguly

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Can you Simplify That? Data Reduction Techniques

In this chapter, we will cover the following topics:

  • Performing cluster analysis using hierarchical clustering
  • Performing cluster analysis using partitioning clustering
  • Image segmentation using mini-batch K-means
  • Partitioning around medoids
  • Clustering large applications
  • Performing cluster validation
  • Performing advance clustering
  • Model-based clustering with the EM algorithm
  • Reducing dimensionality with principal component analysis

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