[Numpy-discussion] distance matrix and (weighted) p-norm

[Emanuele Olivetti]

Excellent.

David said that distance computation will be moved in a
separate package soon. I guess that your implementation
will be the suitable one for this package. Am I wrong?

Thanks again,

Emanuele

Damian Eads wrote:
> Hi there,
>
> The pdist function computes pairwise distances between vectors in a 
> single collection, storing the distances in a condensed distance matrix. 
>   This is not exactly what you want--you want to compute distance 
> between two collections of vectors.
>
> Suppose XA is a m_A by n array and XB is a m_B by n array,
>
>    M=scipy.cluster.distance.cdist(XA, XB, metric='mahalanobis')
>
> computes a m_A by m_B distance matrix M. The ij'th entry is the distance 
> between XA[i,:] and XB[j,:]. The core computation is implemented in C 
> for efficiency. I've committed the new function along with documentation 
> and about two dozen tests.
>
> Cheers,
>
> Damian
>
> Emanuele Olivetti wrote:
>   
>> David Cournapeau wrote:
>>     
>>> FWIW, distance is deemed to move to a separate package, because distance
>>> computation is useful in other contexts than clustering.
>>>
>>>   
>>>       
>> Excellent. I was thinking about something similar. I'll have a look
>> to the separate package. Please drop an email to this list when
>> distance will be moved.
>>
>> Thanks,
>>
>> Emanuele
>>     
>
> -----------------------------------------------------
> Damian Eads                             Ph.D. Student
> Jack Baskin School of Engineering, UCSC        E2-479
> 1156 High Street
> Santa Cruz, CA 95064    http://www.soe.ucsc.edu/~eads
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-discussion at scipy.org
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
>