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DBSCAN clustering algorithm matlab code

于 2022-02-07 发布 文件大小:3.45 kB
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代码说明:

%用法:[C,ptsC,centers]=dbscan(P,E,minPts)%%参数:%%P-dim x Npts点数组。%%E-距离阈值。%%minPts-形成簇所需的最小点数。%%返回:%%C-长度单元格数组与每个聚类%相关的点指数。%ptsC-列出与每个点%相关的聚类数的长度NPT数组。如果一个点被表示为噪声(在%附近不够);&元素组成一个簇)它的簇数是0.centers-每个簇的平均中心的dim x Nc数组。

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