首页> 外文会议>International Conference on Informatics and Computational Sciences >Simulation Study using Average Difference Algorithm to Analyze the Outlierness Degree of Spatial Observations
【24h】

Simulation Study using Average Difference Algorithm to Analyze the Outlierness Degree of Spatial Observations

机译:平均差算法分析空间观测的差异程度的仿真研究

获取原文

摘要

Attribute values are the main elements in calculating degree of outlierness of spatial objects. The problem arises when the spatial outliers with extreme values are the nearest neighbors of a central object. In this study, several scenarios are simulated to verify the effect of spatial outliers’ extreme values to the degree of outlierness of its nearest neighbors, based on Average Difference Algorithm. The results confirmed the effect can lead to falsely detected spatial outliers. The algorithm detect the true spatial outliers correctly if their values are three sigma away from the mean attribute values of its nearest neighbors.
机译:属性值是计算空间对象的差异程度的主要元素。当具有极端值的空间异常值是中心对象的最近邻居时,出现了问题。在这项研究中,模拟了几种情况,以验证空间异常值的极端值对其最近邻居的异常程度的影响,基于平均差分算法。结果证实了效果可能导致错误检测到的空间异常值。如果它们的值是远离其最近邻居的平均属性值,则算法正确检测真正的空间异常值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号