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From Tamas Jambor <jambo...@googlemail.com>
Subject Re: EuclideanDistanceSimilarity
Date Wed, 03 Mar 2010 00:19:05 GMT
sure, if you center the data then they are identical. but the uncentered 
cosine similarity is quite different, as far as I know.

T

On 02/03/2010 22:55, Sean Owen wrote:
> Yes, that's also the Pearson-correlation-based one, since it forces
> the data to be 'centered' (mean of 0) during the computation. In that
> case they are actually identical.
>
> On Tue, Mar 2, 2010 at 10:47 PM, Tamas Jambor<jamborta@googlemail.com>  wrote:
>    
>> Thanks. that makes sense. Which one would be cosine similarity? do you have
>> that implemented?
>>      


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