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Learning Apache Mahout

You're reading from  Learning Apache Mahout

Product type Book
Published in Mar 2015
Publisher
ISBN-13 9781783555215
Pages 250 pages
Edition 1st Edition
Languages

Chapter 7. Clustering with Mahout

In this chapter, we will discuss one of the major application areas of machine learning. Cluster analysis has wide areas of application like customer segmentation, news grouping, grouping users based on their behavior, and so on.

We will also get an understanding of the internals of a few important clustering algorithms and then discuss their implementation in Mahout. The topics that we will discuss in this chapter are as follows:

  • Data preprocessing

  • k-means

  • Canopy clustering

  • Fuzzy k-means

  • Streaming k-means

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