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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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使用C#语言实现了模糊C均值聚类，可以在特征提取中使用。-This code performs a fuzzy C-means clustering and segmentation of color images, can be used for feature extraction.
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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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Kmean clustering in C#
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该程序主要用于机械故障模式的识别与诊断，且诊断准确率较高，具有工程应用价值。-The program is mainly used for the identification and diagnosis of mechanical failure modes, and the diagnostic accuracy is high, with engineering application value.
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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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