Improving Web clustering by cluster selection

@article{Crabtree2005ImprovingWC,
  title={Improving Web clustering by cluster selection},
  author={Daniel Crabtree and Xiaoying Gao and Peter Andreae},
  journal={The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)},
  year={2005},
  pages={172-178}
}
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering using only textual information, Suffix Tree Clustering (STC) outperforms other clustering algorithms by making use of phrases and allowing clusters to overlap. One problem of STC and other similar algorithms is how to select a small set of clusters to display to the user from a very large set of generated clusters. The… CONTINUE READING
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