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I want to make cosine similarity a distance measure for undersampling of fraud data , but the problem is if I get the zero values it will give 0/0, what can I do for this what can be the alternative similarity measures that are also distance measures.

Myra
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  • See http://stats.stackexchange.com/a/36158/3277. Squared euclidean distance is 2(1-s) where s is cosine similarity. – ttnphns Aug 05 '15 at 10:21

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What about the following?

$dist = 1 - sim$ where $sim$ denotes the cosine similarity.

NeuroMorphing
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