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- W2553832446 abstract "Clustering graphs under the Stochastic Block Model (SBM) and extensions are well studied. Guarantees of exist under the assumption that the data is sampled from a model. In this paper, we propose a framework, in which we obtain correctness guarantees without assuming the data comes from a model. The guarantees we obtain depend instead on the statistics of the data that can be checked. We also show that this framework ties in with the existing model-based framework, and that we can exploit results in model-based recovery, as well as strengthen the results existing in that area of research." @default.
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- W2553832446 date "2016-01-01" @default.
- W2553832446 modified "2023-10-17" @default.
- W2553832446 title "Graph Clustering: Block-models and model free results" @default.
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