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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算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进,普通C均值算法对于数据的划分是硬性的,而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest simila
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FCM算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进,普通C均值算法对于数据的划分是硬性的,而FCM则是一种柔性的模糊划分。-FCM algorithm is a clustering algorithm based on division, the idea is to make it to the same cluster is divided into the biggest similari
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rough fuzzy c means algorithm for clustering of data set
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模糊C均值聚类算法实现数据挖掘的matlab源代码-Fuzzy C-Means clustering algorithm for data mining matlab source code
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在matlab开发环境中,使用模糊C均值聚类的方法对数据进行聚类-In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering
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采用模糊C均值对数据集data聚为cluster_n类-Using Fuzzy C-Means dataset data gathered for cluster_n classes
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用类Cluster实现一维数据的模糊C均值聚类,可在VC++和BC++下使用-Class Cluster fuzzy C-means clustering, one-dimensional data can be used in VC++ and BC++
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FCM算法,基本的分类算法,很好用,有例子直接仿照操作。-FCM Data set clustering using fuzzy c-means clustering.
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利用核模糊C均值聚类KFCM算法实现对数据的分类-Nuclear Fuzzy C-Means Clustering KFCM algorithm on data classification
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This program is kind of data classification, namely FCM (Fuzzy C-Means Clustering) algorithmm.
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Partition index is a measure ofvalidity similar to partition coeGcient, based on using Pj = ci=1 (uij)m as a
measure ofhow well the jth data point has been classi-
2ed. The closer a pixel is to a codebook entry, the closer
Pj
is to one. Ifa
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This MATLAB Toolbox contains M-files for the following clustering algorithms
1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m
2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m
3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
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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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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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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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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) algor
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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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