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Accredited
주성분 분석 및 군집분석을 이용한 지역정보 유형화 프레임워크의 설계와 구현
Effective Classification Framework Design and Implementation for Rural Regional Information using Principal Component Analysis and Cluster Analysis
서교 ( Suh Kyo ) , 김태곤 ( Kim Taegon ) , 이지민 ( Lee Ji Min ) , 이정재 ( Lee Jeongjae )
UCI I410-ECN-0102-2018-500-003779828

For planning and developing rural regions, it is very important to understand and utilize regional characteristics including social, demographic, and economic aspects. The purpose of this study is to find effective analysis techniques and provide a procedure design for mining regional characteristics in South Korea through reviewing and analyzing 41 related studies. The engaged research methods can be classified into five categories (PCA+CA, PCA, CA, GIS, and PCA+GIS) with the combination of three methodologies: principal component analysis (PCA), cluster analysis (CA), and geographical information system (GIS). The combination of PCA and CA occupied about 40 % of research methods used in related studies. The analysis tool of Korean Rural Information Supporting System (KRISS) is designed based on the outcomes of this study and applied to classify the regional capacity of agriculture using agricultural census data (2000) for evaluating its applicability.

[자료제공 : 네이버학술정보]
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