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Spark Cookbook

You're reading from   Spark Cookbook With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783987061
Length 226 pages
Edition 1st Edition
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Author (1):
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Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Apache Spark 2. Developing Applications with Spark FREE CHAPTER 3. External Data Sources 4. Spark SQL 5. Spark Streaming 6. Getting Started with Machine Learning Using MLlib 7. Supervised Learning with MLlib – Regression 8. Supervised Learning with MLlib – Classification 9. Unsupervised Learning with MLlib 10. Recommender Systems 11. Graph Processing Using GraphX 12. Optimizations and Performance Tuning Index

Clustering using k-means


Cluster analysis or clustering is the process of grouping data into multiple groups so that the data in one group is similar to the data in other groups.

The following are a few examples where clustering is used:

  • Market segmentation: Dividing the target market into multiple segments so that the needs of each segment can be served better

  • Social network analysis: Finding a coherent group of people in the social network for ad targeting through a social networking site such as Facebook

  • Data center computing clusters: Putting a set of computers together to improve performance

  • Astronomical data analysis: Understanding astronomical data and events such as galaxy formations

  • Real estate: Identifying neighborhoods based on similar features

  • Text analysis: Dividing text documents, such as novels or essays, into genres

The k-means algorithm is best illustrated using imagery, so let's look at our sample figure again:

The first step in k-means is to randomly select two points called cluster...

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