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Apache Mahout Clustering Designs by Ashish Gupta

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Summary

We discussed Fuzzy K-means clustering in this chapter. We saw how fuzzy the K-means clustering algorithm works and is used in the Mahout implementation of the Fuzzy K-means algorithm on the liver disorder dataset. We discussed how Fuzzy K-means is implemented using the map reduce method. We implemented the code to convert the CSV file into a Mahout useable vector format. We used a vector reader program to read the generated vector. We used a cluster dumper utility to view the output of the cluster.

Now, we will move on to the next chapter where we will discuss the model-based clustering algorithm.

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