Semi-supervised fuzzy co-clustering algorithm for document categorization

@article{Yan2011SemisupervisedFC,
  title={Semi-supervised fuzzy co-clustering algorithm for document categorization},
  author={Yang Yan and Lihui Chen and William-Chandra Tjhi},
  journal={Knowledge and Information Systems},
  year={2011},
  volume={34},
  pages={55-74}
}
In this paper, we propose a new semi-supervised fuzzy co-clustering algorithm called SS-FCC for categorization of large web documents. In this new approach, the clustering process is carried out by incorporating some prior domain knowledge of a dataset in the form of pairwise constraints provided by users into the fuzzy co-clustering framework. With the help of those constraints, the clustering problem is formulated as the problem of maximizing a competitive agglomeration cost function with… CONTINUE READING

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