Hello,
To my understanding from the book, ClusterDumper tool can be used to get
the top features of each cluster and the centroid vector. However, I have a
dataset with manual labels on it. I would like to evaluate the clusters
based on the manual labels to calculate accuracy of clustering (set th
I'm currently using KMeans with canopy and Cosine as the measure. The data I'm
using has been somewhat curated into categories so I expected them to cluster
alongside the other documents in their respective categories. Some of them fall
nicely into clusters I'd expect but others are like the exa
I think you meant: "Human relatedness decays much slower than item
popularity."
So to make sure I understand the implications of using IDF… For
boolean/implicit preferences the sum of all prefs (after weighting) for a
single item over all users will always be 1 or 0. This no matter whether the
On Tue, Feb 5, 2013 at 11:29 AM, Pat Ferrel wrote:
> I think you meant: "Human relatedness decays much slower than item
> popularity."
>
Yes. Oops.
> So to make sure I understand the implications of using IDF… For
> boolean/implicit preferences the sum of all prefs (after weighting) for a
>
That's exactly what I was trying to do, by running TestNewsGroups.java, as
I explained in my last post.
Here's the code again with the stack trace. There's something wrong I'm
doing while loading up the model (and I can't load up the Naive Bayes, see
code)
Thanks
https://gist.github.com/anonymous
Anyone ?
Thanks
On Wed, Jan 30, 2013 at 10:42 AM, Vinay B, wrote:
>
> Just a set of mahout commands. Here they are.
>
> https://gist.github.com/4674331
>
> For what it's worth,t he relevant solr config from the schema was
>
> multiValued="true"
> termVectors="true"/>
>
> Thank You
>
>
