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于 2012-10-09 发布 文件大小:6KB
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  EM Wave propagation and antenna analysis m-files:

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    说明:  :DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇,并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性,且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类,这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法,可以处理非空 间属性,同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the &quot noise&quot found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)
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    2010-11-24 17:33:21下载
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    2013-12-17 17:30:35下载
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    2015-09-08 15:09:07下载
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