July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Time to Put Some Order - Cluster Your Data with Spark MLlib
"If you take a galaxy and try to make it bigger, it becomes a cluster of galaxies, not a galaxy. If you try to make it smaller than that, it seems to blow itself apart"
- Jeremiah P. Ostriker
In this chapter, we will delve deeper into machine learning and find out how we can take advantage of it to cluster records belonging to a certain group or class for a dataset of unsupervised observations. In a nutshell, the following topics will be covered in this chapter:
- Unsupervised learning
- Clustering techniques
- Hierarchical clustering (HC)
- Centroid-based clustering (CC)
- Distribution-based clustering (DC)
- Determining number of clusters
- A comparative analysis between clustering algorithms ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.