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This paper discusses in depth the different parts of the MIR-max clustering algorithm with respect to the problem of diagnosing river quality. An equivalent information theoretic measure is proposed in this paper for clustering which is based on conditional entropy. The original mutual information method of clustering is compared with the proposed conditional entropy of states given to the cluster...
We introduce frequent contextual term set (FCT) as an alternative concept of term set construction for text clustering which is produced from the interestingness of documents. Comparing to state-of-art term set, the proposed approach has some advantages: (1) more efficient in term set production (2) more effective in storing the vocabulary amongst documents which express the context amongst documents...
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