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This paper presents an approach to instance selection for the nearest neighbor rule which aims to obtain a condensed set with high condensing rate and prediction accuracy. By making an improvement on MCS algorithm and allowing certain error rate on the training set, a condensed set with high condensing rate and satisfying prediction accuracy is obtained. The condensed set is order-independent of the...
From the value of attributes, evaluation functions, stop-criterion of the leaf node and the matching rules used to test examples, this paper discusses the difference and similarities between the induction learning algorithm 1 and 2 of fuzzy number-valued attribute decision tree. Heuristic algorithm 1 is an algorithm regarding the fuzzy number-valued attribute using the information entropy minimization...
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