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Rough set reduction algorithm
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This program is based on MATLAB rough set attribute reduction algorithm. This program divides the function of the algorithm, and uses the sub function to write each part of the function. The sub function m file has a detailed introduction about the function.
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Ant colony clustering algorithm
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For the input two-dimensional array to achieve self-organizing clustering analysis, into: the number of classes K, the number of samples n: randomly select k objects, initialize K clustering centers; set the iteration counter t = 0; while (R ≠ 0) divide the sample points to the nearest clustering center into: the number of classes K, the number of samples n: randomly select k objects, initialize K clustering centers; set the iteration counter t = 0; set the iteration counter t = 0; set the iteration counter t = 0; While (R ≠ 0) divides the sample points to the nearest cluster center: number of classes K, number of samples n: randomly selects K objects, initializes K cluster centers; sets the iteration counter t = 0; while (R ≠ 0) divides the sample points to the nearest cluster center.
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