Spatial interaction - modification model and applications to geo-demographic analysis

被引：35

作者：

Le Hoang Son ^{[1
]}

Bui Cong Cuong ^{[2
]}

Hoang Viet Long ^{[3
]}

机构：

[1] Vietnam Natl Univ, VNU Univ Sci, Hanoi, Vietnam

[2] Vietnam Acad Sci & Technol, Inst Math, Hanoi, Vietnam

[3] Univ Transport & Commun, Fac Basic Sci, Hanoi, Vietnam

来源：

KNOWLEDGE-BASED SYSTEMS | 2013年 / 49卷

关键词：

Fuzzy clustering; Geo-demographic analysis; Geographic effects; Spatial interaction modification model; Data mining;

D O I：

10.1016/j.knosys.2013.05.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we introduce a novel model so-called Spatial Interaction - Modification Model (SIM2), serving for the classification of spatially-referenced demographic data. It is integrated with the main part of the best fuzzy clustering algorithm for geo-demographic analysis problem - IPFGWC to form the new method named as MIPFGWC. Theoretical and experimental analyses show that MIPFGWC achieves better clustering quality than IPFGWC and other available algorithms. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：152 / 170

页数：19

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