Hi all,
I'm looking for the best way to get user clusters from my recommendation
output. Idea being I have my recommended items for users (user, item, score)
based on their preferences but I want to see how the users were clustered
together (and their similarity) so I can run some other analyti
Right now the best in terms of speed without losing quality in Mahout is
the streaming k-means implementation.
One exciting possibility is that you probably can combine a streaming
k-means pre-pass with a regularized k-means algorithm in order to get
results more like Lingo. You could also follow
Thanks Ted!
On Tue, Sep 17, 2013 at 2:59 PM, Ted Dunning wrote:
> Right now the best in terms of speed without losing quality in Mahout is
> the streaming k-means implementation.
>
> One exciting possibility is that you probably can combine a streaming
> k-means pre-pass with a regularized k-me
Hello,
I'm new to mahout but have been working with Solr, Carrot2 and clustering
documents with the Lingo algorithm. This has worked well for us for
clustering small sets of search results, but we are now branching out into
wanting to cluster larger sets of documents (millions of documents to 10s
I guess there is some problems with the paths in Cygwin since I get that
output:
DARIUS@DARIUS-PC ~
cd ..
DARIUS@DARIUS-PC ~
cd
DARIUS@DARIUS-PC ~
$ cd /usr/local/mahout/examples/bin
DARIUS@DARIUS-PC /usr/local/mahout/examples/bin
$ ./build-reuters.sh
Please call cluster-reuters.sh directly nex
That's like a charm, Gokhan, your suggestion was on point again. However...
Despite the fact that the build is successful, the file is still empty,
and I got the exception as always on Windows:
java.io.IOException: Failed to set permissions of path:
\tmp\hadoop-DARIUS\mapred\staging\DARIUS3311507
