I think it is valuable to make the distance function pluggable and also
provide some builtin distance function. This might be also useful for other
algorithms besides KMeans.
On Tue, Jun 21, 2016 at 7:48 PM, Simon NANTY
wrote:
> Hi all,
>
>
>
> In my team, we are currently developing a fork of s
Hi all,
In my team, we are currently developing a fork of spark MLlib extending K-means
method such that it is possible to set its own distance function. In this
implementation, it could be possible to directly pass, in argument of the
K-means train function, a distance function whose signature
