Corpus ID: 11666554

Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm

@article{Khashabi2015ClusteringWS,
  title={Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm},
  author={Daniel Khashabi and Jeffrey Yufei Liu and John Wieting and Feng Liang},
  journal={ArXiv},
  year={2015},
  volume={abs/1508.06235}
}
  • Daniel Khashabi, Jeffrey Yufei Liu, +1 author Feng Liang
  • Published in ArXiv 2015
  • Mathematics, Computer Science
  • In this paper, we propose a model-based clustering method (TVClust) that robustly incorporates noisy side information as soft-constraints and aims to seek a consensus between side information and the observed data. Our method is based on a nonparametric Bayesian hierarchical model that combines the probabilistic model for the data instance and the one for the side-information. An efficient Gibbs sampling algorithm is proposed for posterior inference. Using the small-variance asymptotics of our… CONTINUE READING
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