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Theory of Locality Sensitive Hashing - SNAP - Stanford University

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Picking r and b to get the best<br />

50 hash-functions (r=5, b=10)<br />

Prob. sharing a bucket<br />

1<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0<br />

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />

Similarity<br />

Blue area: False Negative rate<br />

Green area: False Positive rate<br />

1/19/2011 Jure Leskovec, <strong>Stanford</strong> C246: Mining Massive Datasets 23

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