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FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means clustering for 2-D data. You can choose the data set
and clustering number from the GUI buttons at right, and then click
\"Start\" to start the fuzzy cluste
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FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM, Fuzzy C - Means clustering MATLAB [Matlab]
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一个用VC++开发的采用模糊C均值聚类算法.-a VC development of the fuzzy c-means clustering algorithm.
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是一个基于Matlab软件的模糊C-means聚类算法原代码-Matlab is a software based on the fuzzy C-means clustering algorithm source code
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基于matlab的核模糊C-means聚类算法(KFCM),-Matlab-based nuclear Fuzzy C-means clustering algorithm (SN)
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模糊c均值,m值，误差限，迭代次数由用户自己输入，聚类效果好。-fuzzy c-means, m value, the error limits, the number of iterations user input, clustering effects.
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用 MATLAB 编写的 模糊C均值聚类法源程序
和模糊k均值聚类法源程序,比较实用。-using MATLAB fuzzy c-means clustering source and fuzzy k-means clustering source, more practical.
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高光谱遥感图像模糊c均值聚类算法的matlab实现-hyperspectral remote sensing images fuzzy c-means clustering algorithm to achieve the Matlab
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遗传算法改进的C模糊聚类算法源程序.已运行成功，可以作适当修改。-Improved genetic algorithm fuzzy clustering algorithm C source. Has run successfully, you can make appropriate changes.
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Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
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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。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means
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模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
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FCM模糊C均值聚类资料，用matlab编程，实用-FCM fuzzy C-means clustering data, matlab programming, practical
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一个模糊C均值聚类算法的matlab程序。程序中自带数据生成函数。(A fuzzy C means clustering algorithm matlab program. Program comes with data generation function.)
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实现模糊c均值聚类
全套的matlab代码(Implementation of fuzzy C means clustering)
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This paper focuses on the design of a novel control approach. Its contribution to the existing literature is that in the design of an interval type-2 fuzzy neural system, recursive fuzzy c-means clustering algorithm is used and the designed algorithm
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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 fuzzy c-means algorithm (FCMA) or FCM. Among the many fuzzy clustering a
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1.elman神经网络对输入波形进行检测
2.设计具有3个神经元的Hopfield网络
3.建立自适应神经模糊推理系统对非线性函数进行逼近（正弦加滞后）
4.建立自适应神经模糊推理系统对非线性函数进行逼近（正弦多项式）
5.利用模糊C均值聚类方法将一类随机给定的三维数据分为三类(1.Detection of input waveform by elman neural network
2. design a Hopfield network with 3 neurons
3. est
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遗传模拟优化初始聚类中心,模糊C均值聚类(Genetic algorithm is used to optimize initial clustering centers and fuzzy C means clustering.)
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Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
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