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In order to improve the quality of traditional clustering algorithm and prevent the distribution of data from affecting the clustering algorithm greatly, a clustering algorithm based on interval value was proposed. Depending on the consistency of condition attributes and decision attributes in the decision table, the data was discretized and attributes were reduced by using data super-cube and information...
Based on rough set theory, the paper proposed a clustering algorithm to deal with the quality and efficiency of clustering algorithm. By use of the consistency of condition attributes and decision attributes in the information table, the algorithm introduced a formula of attributes importance to reduce the redundant attributes. According to the data super-cube and entropy, the algorithm discretized...
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