spatial outlier region detection 空间离群面检测
The outlier detection data and it’s mining are defined, the four methods of spatial outlier detection are surveyed. A novel method of Spatial Outlier Detection Algorithm Based attributive correlation is introduced.
研究属性相关下空间离群点挖掘实施模式,介绍离群数据和离群数据挖掘的定义,描述离群数据中的四种主要发现方法,并且研究离群算法在CAD中的实施情况。
参考来源 - 基于地理信息系统空间数据挖掘若干关键技术的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Abstract: spatial outlier detection is a research hotspot in the domain of spatial data mining.
摘要：空间离群模式探测是空间数据挖掘的一个研究热点。
According to the characteristics of spatial data sets, this paper proposes an outlier detection algorithm based on the Space Local Deviation Factor (SLDF).
针对空间数据集的特性，提出一种基于空间局部偏离因子(SLDF)的离群点检测算法。
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