Hello all,
I have trouble figuring out how access the cluster data that are generated
in the reuters example script.
I am specifically interested in a plaintext export of the clustered data in
a csv like format for further processing (key:value, distances etc.).
The script already creates the "c
Hello all,
I am currently trying create clusters from a group of 50.000 strings that
contain product descriptions (around 70-100 characters length each).
That group of 50.000 consists of roughly 5.000 individual products and ten
varying product descriptions per product. The product descriptions a
Isn't the streaming k-means just a different approach to crunch through the
data? In other words, the result of streaming k-means should be comparable
to using k-means in multiple chained map reduce cycles?
I just read a paper about the k-means clustering and its underlying
algorithm.
According t
ordan/papers/kulis-jordan-icml12.pdf
>
>
>
>
> On Wed, Oct 2, 2013 at 9:11 AM, Jens Bonerz
> wrote:
>
> > Isn't the streaming k-means just a different approach to crunch through
> the
> > data? In other words, the result of streaming k-means should be
have to process these centroids to produce
> the desired 5,000 clusters. Since 300,000 is a relatively small number of
> data points, this clustering step should proceed relatively quickly.
>
>
>
> On Wed, Oct 2, 2013 at 10:21 AM, Jens Bonerz
> wrote:
>
> > thx for your el
stering will have to process these centroids to produce
> the desired 5,000 clusters. Since 300,000 is a relatively small number of
> data points, this clustering step should proceed relatively quickly.
>
>
>
> On Wed, Oct 2, 2013 at 10:21 AM, Jens Bonerz
> wrote:
>
> > th
;
> I don't have command line specifics handy, but you seem to have done very
> well already at figuring out the details.
>
>
> On Oct 3, 2013, at 7:30 AM, Jens Bonerz wrote:
>
> > I created a series of scripts to try out streamingkmeans in mahout an
> > incre
eans.
>
> You up for trying to make a patch?
>
> Sent from my iPhone
>
> On Oct 6, 2013, at 12:37, Jens Bonerz wrote:
>
> > Hmmm.. has ballkmeans made it already into the 0.8 release? can't find it
> > in the list of available programs when calling the mahout bin
Hi Dean,
i might be wrong. but try googling for "shingling"... could be something to
start with.
Cheers
Jens
2013/10/9 Ted Dunning
> Yes. Should work to use character n-grams. There are oddities in the
> stats because the different n-grams are not independent, but Naive Bayes
> methods are
what a nice idea :-) really like that approach
2013/10/11 Ted Dunning
> You don't need Mahout for this.
>
> A very easy way to do this is to gather all the words for each category
> into a document. Thus:
>
> CatA:selling buying sales payment
> CatB:gathering collecting
> CatC:information data
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