>
>>>
>>> ​Yes, you can parallelize it, though it will cancel several optimizations
>> I've added.
>> In fact you can partition the input according to number of threads you'd
>> like to use
>> and make each thread to take care of relevant data chunk.
>>
>> I guess it will increase performance, not sure why current implementation
>> wasn't
>> parallelized.​
>>
>>
> You are most welcome to enhance it. ;-)
>

Well, already did it ;-)
And if you mean to parallelize my current implementation for Elkan
algorithm,
I think that it should be handled as a separate task.​



>
> Gilles
>
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