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Description: 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 clustering process.-FCMDEMO GUI displays a window to let you try out various parameters in fuzzy c-means cluste ring 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 clus tering process.
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Size: 5714 |
Author: dynasty |
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Description: FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM, Fuzzy C - Means clustering MATLAB [Matlab]
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Size: 6275 |
Author: shi-tou |
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Description: matlab的实例，是关于模糊c均值的一个小程序-Matlab example of the fuzzy c-means a small program
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Size: 1450 |
Author: fangyang |
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Description: k均值算法的ppt，里面包含了模糊c均值算法，有益于对该算法的理解，有较大的帮助-k-means algorithm ppt, which contains a fuzzy c-means algorithm, the benefits of this algorithm understanding, a great help
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Size: 3950592 |
Author: zhongrui |
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Description: 数据挖掘的英文文章，对模糊C聚类方法进行了介绍，可以有效的理解外国数据挖掘的趋势。-The English articles of data mining, abroad and the development trend of data mining
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Size: 633856 |
Author: 张露 |
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Description: Simple Fuzzy c-means code in matlab
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Size: 1024 |
Author: Arthur Porto |
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Description: Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an
effective algorithm suitable for image segmentation. Its effectiveness contributes not
only to introduction of fuzziness for belongingness of each pixel but also to
exploitation of spatial contextual information. Although the contextual information
can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough
robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean
structure of the input data due to the use of Euclidean distance (L2 norm).
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Size: 36864 |
Author: mahsy |
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Description: 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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Size: 12288 |
Author: 闻多 |
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Description: 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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Size: 14336 |
Author: Jingwei Huang |
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Description: 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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Size: 126976 |
Author: 季祥 |
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Description: 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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Size: 1024 |
Author: tonyJ
|
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Description: 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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Size: 2048 |
Author: 堕落天使11
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Description: 采用FCM(模糊C均值)算法将数据集data聚为cluster_n类(FCM (fuzzy C means) algorithm is used to aggregate the data set data into cluster_n class)
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Size: 2048 |
Author: Kry
|
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Description: fuzzy clustering toolbox ,fuzzy modeling toolbox ,gk clustering
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Size: 2164736 |
Author: abdalbari |
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Description: 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 is applied in control applications.
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Size: 475136 |
Author: karimano |
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Description: 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 algorithms, the fuzzy C- mean (FCM) algorithm is the most widely used and more successful. By optimizing the target function, the membership degree of each sample point to all class centers is obtained, so as to determine the class genera of the sample points to automatically classify the sample data.)
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Size: 1024 |
Author: 灰烬使者灬 |
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Description: 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 algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algorithm is the most widely used and successful. It obtains the degree of membership of each sample point to all class centers by optimizing the objective function, thus determining the generic class of sample points to achieve The purpose of classifying sample data automatically.)
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Size: 6144 |
Author: 五道杠骚年 |
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Description: 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. establish adaptive neuro fuzzy inference system to approximate nonlinear functions (sine plus lag).
4. establish adaptive neuro fuzzy inference system to approximate nonlinear functions (sine polynomials).
5. fuzzy C means clustering method is used to divide a class of randomly given 3D data into three categories.)
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Size: 2048 |
Author: 南风水忆 |
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Description: 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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Size: 5120 |
Author: 抽象歌手笑川 |
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Description: 该程序可以实现快速的点云的模糊C均值聚类，并且可以利用第二个命令对聚类后的点云进行自动提取。(The program can realize fast clustering of point clouds based on fuzzy C-means, and automatically extract the clustered point clouds by using the second command.)
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Size: 2048 |
Author: 西江哥哥 |
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