节点文献
空间离群点的检测算法
A Spatial Outlier Detection Algorithm
【摘要】 空间离群点是指与其邻居具有明显区别的属性值的空间对象。已有的空间离散点检测算法一个主要的缺陷就是这些方法导致一些真正的离群点被忽略而把一些非离群点当成了空间离群点。本文提出了一种迭代算法,该算法通过多次迭代检测离群点,取得较好效果。实验表明该算法具有较好的实用性。
【Abstract】 A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. One drawback of the existing detection approaches is that their application will lead to some true spatial outliers being ignored and some false spatial outliers being identified. In this paper,authors propose an iterative algorithm that detects spatial outliers by multi-iterations. This algorithm gets a good performance. Experiments show that this algorithm has a good practicality.
【关键词】 空间离群点;
空间离群点检测;
地理信息系统;
迭代算法;
【Key words】 Spatial Outliers; Spatial Outlier Detection; GIS; Iterative Algorithms;
【Key words】 Spatial Outliers; Spatial Outlier Detection; GIS; Iterative Algorithms;
【基金】 安徽大学创新团队基金资助
- 【文献出处】 电脑知识与技术 ,Computer Knowledge and Technology , 编辑部邮箱 ,2008年01期
- 【分类号】TP391.4
- 【被引频次】1
- 【下载频次】140