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模糊C均值聚类算法

于 2020-07-01 发布文件大小:2KB

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模糊c-均值聚类算法通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的，一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classification of the sample points to achieve automatic classification of sample data. It is generally used for fault recognition and classification.)

文件列表：

模糊C均值聚类算法\distfcm.m, 294 , 2016-11-18
模糊C均值聚类算法\FCMCluster.m, 1413 , 2017-03-27
模糊C均值聚类算法\initfcm.m, 155 , 2016-11-18
模糊C均值聚类算法\stepfcm.m, 360 , 2016-11-18
模糊C均值聚类算法\Untitled2.m, 788 , 2016-11-18
模糊C均值聚类算法\Untitled6.m, 391 , 2016-11-18
模糊C均值聚类算法, 0 , 2016-11-18

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