搜索资源列表
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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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用VC写的关于k-mean聚类算法的程序。-Written by VC on the k-mean clustering algorithm procedure.
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一种聚类算法的源代码，用的是k-means，很好用的，我试过-a kind of algorithm for clustering
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用C++实现k-mean聚类算法并进行初级的数据挖掘，-Using C++, k-mean clustering algorithm and a preliminary data mining,
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k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
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利用k-means算法进行聚类，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最有分类，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。-Algorithm using k-means clustering, K-means algorithm Euclidean distance as a similarity measure, it is the pursuit of the vector V corresponding to a initial
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New revised K-means聚类算法，为matlab函数，需要调用才能使用-New revised K-means clustering algorithm for matlab function, you need to call in order to use
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image segmentation with k-means algorithm and mean shift clustering and filtering
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K均值聚类算法，由C语言编写，可以自己调整迭代次数，超级好用-K-means clustering algorithm, the C language, you can adjust their iterations, super easy to use
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vs2013实现的k-means聚类算法，是一个2维点集的聚类演示程序-Vs2013 implementation of the K-means clustering algorithm, is a 2 dimensional point set of the clustering demonstration program
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Vs2013实现的K-Means聚类算法，把256^3颜色进行聚类，用少量颜色进行替换-Vs2013 implementation of the K-Means clustering algorithm, the 256^3 color clustering, with a small number of colors to replace
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用来对鲍鱼进行聚类的K均值算法，聚类结果以平行坐标系方式显示。-K-means clustering algorithm is used for abalone, the clustering results in a parallel coordinates display mode.
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基改进的K-means聚类算法对已知初始聚类中心，对质心点进行求解，并考虑到不同点的权重问题。-Base Improved K-means clustering algorithm known initial cluster centers, centroid point is solved, taking into account the different points of the right to re-issue.
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Mainly based on the mtlab procedures, K-means clustering algorithm based on the PSO, ECG data and includes source code written in MATLAB.
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We will demonstrate a raster image segmentation process by developing a code in C# that implements k-means clustering algorithm adaptation to perform an image segmentation.
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