Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Big Data Analytics with Java

You're reading from   Big Data Analytics with Java Data analysis, visualization & machine learning techniques

Arrow left icon
Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787288980
Length 418 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
RAJAT MEHTA RAJAT MEHTA
Author Profile Icon RAJAT MEHTA
RAJAT MEHTA
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Big Data Analytics with Java FREE CHAPTER 2. First Steps in Data Analysis 3. Data Visualization 4. Basics of Machine Learning 5. Regression on Big Data 6. Naive Bayes and Sentiment Analysis 7. Decision Trees 8. Ensembling on Big Data 9. Recommendation Systems 10. Clustering and Customer Segmentation on Big Data 11. Massive Graphs on Big Data 12. Real-Time Analytics on Big Data 13. Deep Learning Using Big Data Index

Clustering for customer segmentation


Here, we will now build a program that will use the k-means clustering algorithm and will make five clusters from our transactional dataset.

Before we crunch the data to figure out the clusters, we have made a few important assumptions and deductions regarding the data to preprocess it:

  • We are only going to do clustering for the data belonging to the United Kingdom. The reason being, most of the data belongs to the United Kingdom in this dataset.

  • For any missing or null values, we will simply discard that row of data. This is to keep things simple, and also because we have a good amount of data available for analysis. Leaving a few rows should not have much impact.

Let's now start our program. We will first build our boilerplate code to build the SparkSession and Spark configuration:

SparkConf conf = ...
SparkSession session = ...

Next, let's load the data from the file into a dataset:

Dataset<Row> rawData = session.read().csv("data/retail/Online_Retail...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image