An Empirical Selection Method for Document Clustering

@article{PPerumal2011AnES,
  title={An Empirical Selection Method for Document Clustering},
  author={P.Perumal and R. Nedunchezhian and D.Brindha},
  journal={International Journal of Computer Applications},
  year={2011},
  volume={31},
  pages={15-19}
}
Model Selection is a task selecting set of potential models. This method is capable of establishing hidden semantic relations among the observed features, using a number of latent variables. In this paper, the selection of the correct number of latent variables is critical. In the most of the previous researches, the number of latent topics was selected based on the number of invoked classes. This paper presents a method, based on backward elimination approach, which is capable of unsupervised… Expand
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