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提出了一种基于聚类的空间异常探测方法。该方法通过空间聚类获得局部相关性较强的实体集合,分别探测空间异常,给出了一种稳健的空间异常度量指标,提高了异常探测结果的可靠性。通过实例验证以及与SOM方法的比较分析,证明了该方法的正确性和优越性。 更多还原

【Abstract】 Spatial outlier detection has been a hot issue in the field of spatial data mining and knowledge discovery. Spatial outliers may be utilized to discover and predict the potential change laws or development tendency of geographical phenomenon in the real world. Among the existing spatial outlier detection methods, there are mainly two aspects of issues. On the one hand, these methods primarily consider that all the entities for outlier detection are correlated. Actually, spatial correlation decre... 更多还原