October 2013
Beginner
148 pages
3h 38m
English
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Distance matrix
The distance matrix is used not just for visualization, but for learning algorithms too. You can think of them as a column of collections, where each cell contains the difference between the previous rows.
The supported distance functions are the following:
- Real distances
-
Euclidean(
)
-
Manhattan (
)
-
Cosine (
)
-
Euclidean(
- Bitvector distances
- Tanimoto ()
- Dice ()
- Bitvector cosine ()
- Distance vector (assuming you already have a distance vector, you can ...
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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.