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- W2296901364 abstract "We consider a problem of grouping multiple graphs into several clusters using singular value thesholding and non-negative factorization. We derive a model selection information criterion to estimate the number of clusters. We demonstrate our approach using Swimmer data set as well as simulated data set, and compare its performance with two standard clustering algorithms." @default.
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- W2296901364 date "2014-06-24" @default.
- W2296901364 modified "2023-09-27" @default.
- W2296901364 title "Automatic Dimension Selection for a Non-negative Factorization Approach to Clustering Multiple Random Graphs" @default.
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