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.
Apache Mahout Clustering Designs
Apache Mahout Clustering Designs
Overview of this book
Table of Contents (16 chapters)
Apache Mahout Clustering Designs
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Understanding Clustering
Understanding K-means Clustering
Understanding Canopy Clustering
Understanding the Fuzzy K-means Algorithm Using Mahout
Understanding Model-based Clustering
Understanding Streaming K-means
Spectral Clustering
Improving Cluster Quality
Creating a Cluster Model for Production
Index
Customer Reviews