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于 2022-05-24 发布 文件大小:270.04 kB
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k-means(欧氏距离)聚类算法是最基本的聚类算法,是理解和应用聚类算法的基础,通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .

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