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数据挖掘中聚类的文档

于 2022-10-02 发布 文件大小:473.74 kB
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k-均值聚类是一种矢量量化,最初从信号处理,这是流行的数据挖掘中的聚类分析的方法。k-均值聚类分区 n 个观测到 k 集群每个观察值属于最近均值聚类目标,作为 aprototype 的群集。这会导致 Voronoi 单元格数据空间的划分。

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