| 基于空间相邻关系的GML点对象离群检测算法 |
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| 引用本文： | 陈佳春,吉根林.基于空间相邻关系的GML点对象离群检测算法[J].南京师范大学学报,2009,9(1):61-63. |
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| 作者姓名： | 陈佳春 吉根林 |
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| 作者单位： | 南京师范大学,数学与计算机科学学院,江苏,南京,210097;南京师范大学,虚拟地理环境教育部重点实验室,江苏,南京,210097
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| 摘 要： | 提出了一种基于空间相邻关系的点对象离群检测算法SAOD（Space Adjacent Relations Based GML Point Outlier Detection Algorithm）．利用空间相邻关系作为空间点对象的相似度度量准则，得到相似度矩阵，从而挖掘GML中的离群点对象．实验结果表明，SAOD算法能有效地检测GML中的离群点对象并且具有较高的效率．
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| 关 键 词： | 离群点检测 空间相邻 GML数据挖掘 |
An Algorithm for GML Point Outlier Detection Based on Space Adjacent Relations |
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| Chen Jiachun,Ji Genlin.An Algorithm for GML Point Outlier Detection Based on Space Adjacent Relations[J].Journal of Nanjing Nor Univ: Eng and Technol,2009,9(1):61-63. |
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| Authors: | Chen Jiachun Ji Genlin |
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| Affiliation: | 1.School of Mathematics and Computer Science;Nanjing Normal University;Nanjing 210097;China;2.Key Laboratory of Virtual Geographic Environment;Ministry of Education;China |
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| Abstract: | At present algorithm for GML outlier detection has seldom been researched.Algorithm SAOD for GML point outlier detection based on space adjacent relations is proposed in this paper.In this algorithm,the space adjacent relations between spatial points are considered as the similarity measurement and similarity matrix is computed.The expected outliers can be obtained from the matrix.The results of experiments show that algorithm SAOD is effective and efficient. |
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| Keywords: | outlier detection space adjacent relations GML data mining |
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