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ANALYSIS AND IMPROVEMENT OF DISTRIBUTION PROPERTY OF MEMBERSHIP INFORMATION IN FEATURE SPACE BASED ON FUZZY C-MEANS ALGORITHM
Fuzzy C—Means算法中隶属度信息在特征空间的分布特性分析及 …

Keywords: fuzzy C,means algorithm,membership values,selective attention parameters,fiducial values
Fuzzy
,C-Means,算法,隶属度,选择注意性参数,置信度

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Abstract:

The iterative formulas of Fuzzy C Means algorithm in feature space were deduced before two methods were presented to improve the distribution property of membership information. The first was to control the distribution of membership information by introducting selective attention parameters. The other was to construct cluster fiducial values from the point of probability to replace original membership information. Results of the experiments confirm the effectiveness of the two methods.

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