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Study on Fuzzy Clustering Algorithm of Spatial Data Mining

机译:空间数据挖掘模糊聚类算法研究

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With rapid development of space information crawl technology, different types of spatial database and data size of spatial database increases continuously. How to extract valuable information from complicated spatial data has become an urgent issue. Spatial data mining provides a new thought for solving the problem. The paper introduces fuzzy clustering into spatial data clustering field, studies the method that fuzzy set theory is applied to spatial data mining, proposes spatial clustering algorithm based on fuzzy similar matrix, fuzzy similarity clustering algorithm. The algorithm not only can solve the disadvantage that fuzzy clustering can't process large data set, but also can give similarity measurement between objects.
机译:随着空间信息爬网技术的快速发展,不同类型的空间数据库和空间数据库的数据大小连续增加。如何从复杂的空间数据中提取有价值的信息已成为紧急问题。空间数据挖掘为解决问题提供了新的思路。本文将模糊聚类介绍到空间数据集群场中,研究模糊集理论应用于空间数据挖掘的方法,提出了基于模糊类似矩阵,模糊相似聚类算法的空间聚类算法。该算法不仅可以解决模糊聚类无法处理大数据集的缺点,而且可以在对象之间提供相似性测量。

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