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基于模糊推理的空间聚类方法研究
引用本文:刘庆清,邓羽,张文婷.基于模糊推理的空间聚类方法研究[J].测绘信息与工程,2010,35(4):38-39.
作者姓名:刘庆清  邓羽  张文婷
作者单位:1. 广东省地价评估中心,广州市环市东路468号,510075
2. 武汉大学资源与环境科学学院,武汉市珞喻路,129号,430079;中国科学院地理科学与资源研究所,北京市大屯路甲11号,100101;中国科学院研究生院,北京市中关村东路80号,100080
3. 武汉大学资源与环境科学学院,武汉市珞喻路,129号,430079
摘    要:提出了基于模糊推理的空间聚类方法,给出了其实现步骤,并以实例验证了其可行性和科学性。

关 键 词:空间聚类  模糊推理  空间数据挖掘  知识发现

SPATIAL CLUSTERING METHOD BASED ON FUZZY REASONING
LIU Qingqing,DENG Yu,ZHANG Wenting.SPATIAL CLUSTERING METHOD BASED ON FUZZY REASONING[J].Journal of Geomatics,2010,35(4):38-39.
Authors:LIU Qingqing  DENG Yu  ZHANG Wenting
Institution:1 Land Price Appraisal Center of Guangdong Province,468 East Huanshi Road,Guangzhou 510075,China;2 School of Resources and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China;3 Institute of Geographic Sciences and Natural Resources Research,CAS,11 Datun Road,Beijing 100101,China;4 Institute of Policy and Management,Chinese Academy of Sciences,80 East Zhangguanchun Road,Beijing 100080,China)
Abstract:We put forward a spatial clustering method based on fuzzy reasoning,which can be widely applied to the research on classification and hierarchy in realm of spatial data mining and knowledge discovery.We present implementation steps of the method,verifie the feasible and scientific significance by examples.
Keywords:spatial clustering  fuzzy reasoning  spatial data mining  knowledge discovery
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