In this chapter, we discussed
SpectralKMeans clustering and the steps involved in running this algorithm. We discussed different flavors of the algorithm and the one that Mahout has implemented. We also covered the different classes that Mahout has provided to implement SpectralKmeans clustering. We executed a small example and discussed the output. The Mahout community is working on this algorithm, and we will see a lot of new changes in this algorithm in upcoming releases. Follow the Apache Mahout link for more information on new features of
SpectralKmeans clustering. In the next chapter, we will discuss how to improve cluster quality.