Search Results for author: Bahman Bahmani

Found 2 papers, 1 papers with code

Scalable K-Means++

3 code implementations29 Mar 2012 Bahman Bahmani, Benjamin Moseley, Andrea Vattani, Ravi Kumar, Sergei Vassilvitskii

The recently proposed k-means++ initialization algorithm achieves this, obtaining an initial set of centers that is provably close to the optimum solution.

Databases

Fast Incremental and Personalized PageRank

no code implementations15 Jun 2010 Bahman Bahmani, Abdur Chowdhury, Ashish Goel

We show that if we store $R>q\ln n$ random walks starting from every node for large enough constant $q$ (using the approach outlined for global PageRank), then the expected number of calls made to the distributed social network database is $O(k/(R^{(1-\alpha)/\alpha}))$.

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