Thanks Mirko, will try it. Best Regards, Suijian
2014-04-21 11:12 GMT-05:00 Mirko Kämpf <mirko.kae...@cloudera.com>: > 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.z...@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 > mi...@cloudera.com > >
