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Finding the appropriate number of clusters to which documents should be partitioned is crucial in document clustering. In this paper, we propose a novel approach, namely DPMFP, to discover the latent cluster structure based on the DPM model without requiring the number of clusters as input. Document features are automatically partitioned into two groups, in particular, discriminative words and nondiscriminative...
An important issue arising from Web databases fuzzy query is how to rank the answers from data sources, this paper investigates the problem of ranking the answers by taking advantage of the user's needs and preferences. Firstly, based on fuzzy set theory, a satisfaction degree ranking method, which ranks the answer according to the tuple's satisfaction degree to the fuzzy query, is presented. Next,...
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