A novel spatial co-location pattern mining algorithm based on k-nearest feature relationship

被引：0

作者：

Research Center of Spatial Information and Digital Engineering, Wuhan University, 129 Euoyu Road, Wuhan 430079, China ^{[1
]}

机构：

来源：

Wuhan Daxue Xuebao Xinxi Kexue Ban | 2009年 / 3卷 / 331-334+338期

关键词：

Motion compensation - Location - Data mining;

D O I：

暂无

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学科分类号：

摘要：

We define a k-nearest feature based on co-location patterns, and develop k-nearest feature co-location mining (KNFCOM) algorithm to mine this kind of co-location patterns. The experimental results show that KNFCOM algorithm is efficient and scalable for mining spatial co-location patterns from various large spatial datasets.

引用

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