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Research of Spatial Clustering of Discrete Points in the Direction

机译:方向上离散点的空间聚类研究

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摘要

The cluster similarity of classical clustering methods (such as the classification method,hierarchical method,etc.) is determined by the distance between points.However,according to the distribution of spatial data,the change of data direction tends to produce the different classes clusters.The direction of space discrete points is in any direction.With the direction of triangular face expressing the direction of discrete points,we design and implement the spatial clustering of discrete points in the direction algorithm in a certain direction change threshold.We design a pyramid-shaped experimental data and successfully achieve the experimental data clustering by this algorithm.Finally,by the clustering algorithm,the actual measurement points of an open pit coal mine in Inner Mongolia are successfully clustering.
机译:经典聚类方法(如分类方法,分层方法等)的聚类相似性取决于点之间的距离。但是,根据空间数据的分布,数据方向的变化往往会产生不同类别的聚类空间离散点的方向是任意方向。以三角形的方向表示离散点的方向,在一定的方向变化阈值下,设计并实现方向算法中离散点的空间聚类。最后,通过聚类算法对内蒙古某露天煤矿的实测点进行了聚类。

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