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这个是K-Means动态聚类算法的源程序，需要的请下，请多多指教，谢谢！-This is a K - Means clustering algorithm source, the need to please, please exhibitions, thank you!
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MATLAB 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
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Mean shift clustering. K means clustering.,Mean shift clustering. K means clustering.
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K-mean方法聚类 实现多幅图像的K均值方法的聚类并显示-K-mean clustering，Efficient method to achieve multiple images of the K-means clustering method and display
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本实验基于K-Means聚类算法思想实现了字符分割，因为车牌规定是7位的，所以K取7。另外本实验对K-Means算法进行了改进，充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。-In this study, K-Means clustering algorithm based on the ideology of the character segmentation, because the license plate require
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毕设题目，基于K均值的PSO聚类算法，共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
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利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
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K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
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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-means均值聚类算法,用C语言实现
k-均值聚类算法
-Means K-means clustering algorithm, using C language realization of k-means clustering algorithm
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k-均值聚类算法c语言版用于划分聚类，适合用于数据挖掘之中-k-means clustering algorithm c language version
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利用所编的程序，完美的实现经典的K-means聚类算法分析。(Using the program compiled, the classic K-means clustering algorithm is realized perfectly.)
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实现k均值聚类算法，可以使用彩色图像，通过随机初始化聚类中心，完成聚类(The K-means clustering algorithm can use color images to initialize cluster centers randomly and accomplish clustering.)
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k means clustering source code matlab
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随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)
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对K-means聚类算法的改进X-means算法。针对K值如何设定的问题，利用BIC准则判断聚类点数量。同时附有两个初始聚类点的选择程序，自己选吧。(The improved X-means algorithm for K-means clustering algorithm. In view of the problem of how to set the K value, the number of clustering points is judged by the BIC criteri
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介绍了k-means 均值聚类，能很好的将离散的点，聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)
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K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototy
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用k-meas算法对图片聚类,根据图像的颜色，聚类成若干类(Using k-means algorithom to clustering a picture)
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该算法主要包含PCA算法和K-Means聚类算法，用于SAR变化检测,包含数据图片。(The algorithm mainly includes PCA algorithm and K-means clustering algorithm for SAR change detection, including data images.)
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