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一种用于模糊分类的距离测量的小程序,在模糊分类的C均值分类中使用。-a fuzzy classification for the measurement of the distance between the small procedures, in a vague category C classification means used.
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课程设计要求 0
实验一 基于模板匹配的字符识别 1
实验二 基于C均值算法的车辆检测与跟踪 3
实验三 水果分类系统设计 5
实验四 基于遗传算法的图像歪斜校准 6
实验五 基于BP网络的函数逼近 9
实验六 空调模糊控制系统设计 -Curriculum design requires 0
Experimental one based on template matching character recognition 1
C-means algorithm
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Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local minima, in order to overcome the shortcomings of the genetic algorithm is applied to fuzzy C- means algorithm (FCM) opti
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模糊C均值的详细说明文档,还包括硬分类与模糊分类的区别,欢迎下载,(A detailed descr iption of the fuzzy c-means document, but also the difference between hard classification and fuzzy classification, welcome to download,)
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遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点,为了克服该缺点,将遗传算法应用于模糊C-均值算法(FCM)的优化计算中,由遗传算法得到初始聚类中心,再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
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模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它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。(Fuzzy c-means clustering algorithm or FCM. Among many fuzzy clustering algorithms, the Fuzzy C-Means algori
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