Research of Spatial Clustering of Discrete Points in the Direction

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.

关键词： spatial clustering discrete points direction

作者: Chen Yingxian

作者单位: College of Mining Engineering, Liaoning Technical University,Fuxin, 123000, China

会议类型: 国际会议

会议名称: International Symposium on Rock Mechanics and Mine Dynamic Disaster Prevention(岩石力学与矿井动力灾害防治国际学术研讨会)

会议地点: 辽宁阜新

会议语种:英文

页码: 151-155

在线出版日期: 2013-07-13（万方平台首次上网日期，不代表论文的发表时间）