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

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

Bayesian Personalized Ranking (BPR)

   -  Overview <>
   -  Details <>
   -  How to Run <>
   -  References <>

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:

and in GraphLab you find:


The kmeans program implements the
KMeans++<> 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.

On Mon, Apr 21, 2014 at 6:04 PM, Suijian Zhou <>wrote:

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

Mirko Kämpf

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