In this chapter, we studied how to solve the clustering problem for large-scale graphs. To do this, we introduced the Power Iteration Clustering method, and showed how to apply it to the clustering of songs using social tags. Using the song clustering example, we also reviewed the main graph building and processing techniques that we learned throughout this book. You should now be well-acquainted with using Spark's graph processing power to solve more interesting problems.
Apache Spark Graph Processing
Apache Spark Graph Processing
Overview of this book
Table of Contents (16 chapters)
Apache Spark Graph Processing
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Getting Started with Spark and GraphX
Building and Exploring Graphs
Graph Analysis and Visualization
Transforming and Shaping Up Graphs to Your Needs
Creating Custom Graph Aggregation Operators
Iterative Graph-Parallel Processing with Pregel
Learning Graph Structures
References
Index
Customer Reviews