Using k-nearest neighbors, similarities are calculated between each element in the data set using some distance / similarity metric ^[1]^ that the researcher chooses (there are many distance / similarity metrics), where the distance / similarity between any two elements is calculated based on the two elements' attributes. A data element’s k-NN are the k closest data elements according to this distance / similarity.
1. A distance metric measures distance; the higher the distance the further apart the neighbors. A similarity metric measures similarity; the higher the similarity the closer the neighbors.
This is a bookmarklet that adds a fully functional Fork button to your own Gist.
If a Fork button is already present in the page, this bookmarklet will set focus to it instead of adding another one.
The change is temporary and the button will disappear as soon as you navigate away from that Gist (clicking the Fork button does this for you as well).
Using a graph model to represent Users on the site, we can test what happens when we roll out changes so that associated Users will all see the same version of the site. In other words, we can make changes such that one User gets 'infected' with a new version of the site, and some or all of their connected Users will receive that same version.
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#!/bin/bash | |
OPENSSL_VERSION="1.0.2c" | |
curl -O http://www.openssl.org/source/openssl-$OPENSSL_VERSION.tar.gz | |
tar -xvzf openssl-$OPENSSL_VERSION.tar.gz | |
mv openssl-$OPENSSL_VERSION openssl_i386 | |
tar -xvzf openssl-$OPENSSL_VERSION.tar.gz | |
mv openssl-$OPENSSL_VERSION openssl_x86_64 | |
cd openssl_i386 |
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# Credit http://stackoverflow.com/a/2514279 | |
for branch in `git branch -r | grep -v HEAD`;do echo -e `git show --format="%ci %cr" $branch | head -n 1` \\t$branch; done | sort -r |