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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...
Importance of biological monitoring in river quality assessment was well understood and various systems were developed in 20th century. But most of them were based on scoring system and later use of Artificial Intelligence (AI) in River Quality Assessment was started. AI has wide scope in river quality assessment problem and few systems were developed to model human ways of reasoning and finding the...
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