问题描述
我在寻找到群集点在地图(纬度/多头)。是否有任何建议,以合适的算法,速度快,可扩展性?
I'm looking into clustering points on a map (lat/longs). Are there any recommendations as to a suitable algorithm that is fast and scalable?
@Gilligan:是的 - 我有一系列纬度/ LNGS,以及地图视口。我试图集群,并并拢,以消除杂波点。
@Gilligan: Yes - I have a series of lat / lngs, and a map viewport. I'm trying to cluster the points that are close together in order to remove clutter.
我已经有一个解决问题的办法(看到这里),只是我想知道是否有任何正式的算法,有效地解决了这个问题。
I already have a solution to the problem (see here), only I am wondering if there is any formal algorithm that solves the problem efficiently.
推荐答案
有关虚拟地球应用程序我用描述的集群此处。这是快如闪电,轻松地扩展。
For a virtual earth application I've used the clustering describedhere. It's lightning fast and easily extensible.
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