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模糊c-均值算法是模糊聚类中最常见、应用最广泛的分析方法之一．经典FCM算法理论和应用的研究已经相当成熟，Bezdek业已证明算法的收敛性［6］，许多软件提供了多种方便的FCM工具箱(如Matlab中FCM工具箱等)．但是传统FCM算法处理的是普通数据集，不能直接处理区间数，得到的聚类原型也不是区间数．针对区间数，一种直觉的方法是分别对左区间值和右区间值作FCM，并把得到的聚类原型分别作为区间型聚类原型的左右区间值，但这种方法已经被证明是行不通的［6］-fuzzy c-means cluster
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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。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
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java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
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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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模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
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FCM算法是应用最广泛的聚类分析方法之一，CFCM也是模糊数学中的一种聚类分析算法。
现在给出的这两个算法是C++代码实现的。 -FCM algorithm is the most widely used method of cluster analysis, CFCM is a kind of fuzzy clustering analysis in the algorithm. Now given by the two algorithms is the C++ code to achi
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Fuzzy C means to segmentate an image whit skin cancer
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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 converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means al
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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, and its thinking that it is making is divided into the same cluster of the bigge
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模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C means clustering (FCM), known as fuzzy ISODATA, is used to determine membership of each data point belongs to a cluster of a clustering algorithm level.
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fuzzy cluster means nice algorithm -fuzzy cluster means nice algorithm !!
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This work presents an implementation of a parallel Fuzzy c-means
cluster analysis tool, which implements both aspects of cluster investigation:
the calculation of clusters’ centers with the degrees of membership of records
to clusters, and
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模糊K均值算法实现。Fuzzy K Means algorithm.-Fuzzy K Means algorithm.
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weka聚类算法中的基础算法,可以作为实验添加到weka中，与其他算法做对比-basic alogrithm in cluster
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Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
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A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault cl
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聚类工具箱,可以实现k-means，fuzzy c-means，agglomerative (hierarchical) clustering等聚类-cluster toolbox
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进行模糊C均值聚类,读取数据，并进行标准化变换-Fuzzy C-means clustering, data is read and converted to standardize
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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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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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