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图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
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包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
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K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
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快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
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kmeans分类的小程序，聚类算法，大家都来看看吧，-kmeans classification of small procedures, clustering algorithm, as we all look at and see,
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层次模糊聚类的算法实现，一个用C或者C++写的kmeans算法，最新的聚类算法-Level fuzzy clustering algorithm, one using C or C++ written kmeans algorithm, the latest clustering algorithm
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这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
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这个应用程序是使用k均值聚类算法分割一个灰度图像-Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.
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数据挖掘中的K均值聚类算法的MATLAB的实现-k means clustering algorithm
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k-means聚类算法在MATLAB的实现-k-means clustering algorithm in MATLAB implementation of
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K-Means动态聚类算法源程序。可以用来发现社团结构。-Dynamic K-Means clustering algorithm source code. The structure can be used to find associations.
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K-means is a clustering algorithm
In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve a
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计算群体感应模型的分叉图，直接描述模型随时滞变化的-Computing the bifurcation digram of quorum sensing and decribing the change with delay
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k-means clustering algorithm using MATLAB
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该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
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此代码为模糊C均值聚类的图象分割算法的MATLAB实现-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
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在matlab平台用于数据的聚类分析，kmeans算法(In the matlab platform for data clustering analysis, kmeans algorithm)
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改进的kmeans算法，聚类效果良好，比三种算法要好，matlab(The improved kmeans algorithm has good clustering effect and is better than the three algorithms, matlab)
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一个简单的kmeans均值聚类算法。可以用matlab实现对于均值的聚类(A simple kmeans mean clustering algorithm. Matlab can be used to implement the clustering of the mean)
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matlab实现Kmeans聚类算法，非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.)
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