January 2015
Beginner to intermediate
378 pages
9h 38m
English
Content preview from Mastering Gephi Network VisualizationBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Partitioning and clustering examples
Over the next few sections we'll walk through multiple examples using a single dataset, starting with the basic partitioning approach, followed by each of our clustering techniques discussed a moment ago. We'll then conclude the section with a recap of what we learned from these examples.
Partitioning
In the next several pages, we will look at some partitioning examples using a new dataset, which is a network derived from some historical baseball data, specifically involving the Boston Red Sox. This dataset covers all seasons from 1901 through 2013 and has a handful of string attributes that can be used for partitioning purposes. There are also a number of numeric variables that can be employed for filtering ...
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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.