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Apache Mahout Clustering Designs by Ashish Gupta

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Chapter 4. Understanding the Fuzzy K-means Algorithm Using Mahout

In the previous chapter, we discussed Canopy clustering and used Mahout to run Canopy clustering. In this chapter, we will discuss a new algorithm in clustering—Fuzzy K-means. Fuzzy clustering is also called soft clustering because data points can belongs to more than one cluster. Fuzzy K-means clustering is also called Fuzzy C-Means (FCM). We will discuss the following topics in this chapter:

  • Learning Fuzzy K-means clustering
  • Using mahout to execute Fuzzy K-means clustering
  • Visualizing the Fuzzy K-means cluster using Mahout

Learning Fuzzy K-means clustering

Fuzzy K-means clustering is a fuzzy form of the K-means algorithm that we discussed earlier. Fuzzy K-means generate soft clusters, ...

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