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From Mirko Kämpf <mirko.kae...@cloudera.com>
Subject Re: kmeans.
Date Mon, 21 Apr 2014 16:12:30 GMT
Hi Suijian,

in Grafos.ml (which builds on Giraph as well) you find:

Bayesian Personalized Ranking (BPR)

   -  Overview <http://grafos.ml/okapi.html#tab13>
   -  Details <http://grafos.ml/okapi.html#tab14>
   -  How to Run <http://grafos.ml/okapi.html#tab15>
   -  References <http://grafos.ml/okapi.html#tab16>

Bayesian Personalized Ranking from implicit feedback (BPR), the optimizes
Area Under the Curve (AUC) in a Collaborative Filtering setting. The
implementation in Okapi is a port of the myMediaLite implementation to the
giraph framework.



k-Means clustering is also available in Mahout:

      https://mahout.apache.org/users/clustering/k-means-clustering.html








and in GraphLab you find:


KMeans++

The kmeans program implements the
KMeans++<http://en.wikipedia.org/wiki/K-means%2B%2B> algorithm
described by

Arthur, D. and Vassilvitskii, S. (2007). "k-means++: the advantages of
careful seeding". Proceedings of the eighteenth annual ACM-SIAM symposium
on Discrete algorithms. pp. 1027-1035.

      http://docs.graphlab.org/clustering.html




On Mon, Apr 21, 2014 at 6:04 PM, Suijian Zhou <suijian.zhou@gmail.com>wrote:

> Hi,
>   Is there any example implementations of graph classification algorithms
> in giraph? E.g, k-means, Bayes etc?
>
>   Best Regards,
>   Suijian
>
>


-- 
-- 
Mirko Kämpf
mirko@cloudera.com

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