Hello everyone,
I have an idea and I would like to get a validation from community about it.
In Mahout there is an implementation of Streaming K-means. I'm
interested in your opinion would it make sense to make a similar
implementation of Streaming K-medoids?
K-medoids has even bigger
So is the MapReduce implementation of Regression written in Mahout-Samsara?
I have written stable MapReduce codes for Regression, that is why I was
interested.
Thank You
Punit Naik
On Sun, May 31, 2015 at 9:22 PM, Scott Lett, PhD sl...@holisticmath.com
wrote:
Ted,
Where is the first place to
AWS will be releasing a new AMI in July that will include our 0.10.1
release.
Highly likely that there will be another 0.10.x out by July, will they be
pulling off the latest ?
On Mon, Jun 1, 2015 at 2:18 PM, Andrew Musselman andrew.mussel...@gmail.com
wrote:
AWS will be releasing a new AMI in July that will include our 0.10.1
release.
There is a menu full of references starting here:
http://mahout.apache.org/users/sparkbindings/home.html
Mahout-Samsara is a Linear Algebra DSL written as an extension of Scala that
includes most of the R-Like primitives you need. As opposed to MLlib, which has
a good number of algorithms but
The streaming k-means works by building a sketch of the data which is then
used to do real clustering.
It might be that this sketch would be acceptable to do k-medoids, but that
is definitely not guaranteed.
Similarly, it might be possible to build a medoid sketch instead of a mean
based sketch,
