Mixtures-of-Clusterings by Boosting

Abstract

Network data that express connections between nodes in a graph is becoming increasingly ubiquitous. Clustering and latent variable analysis have become invaluable tools for understanding network structure, finding communities, and making predictions. In this paper we present instead a mixture-of-clusterings model which has a simple interpretation. We employ AdaBoost to quickly and effectively train our model and demonstrate that our model can make accurate predictions about new connections between nodes. 1

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oai:CiteSeerX.psu:10.1.1.208.6707Last time updated on 10/22/2014

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