摘要
基于中国宏观经济统计数据,首次将双聚类方法应用到经济区划领域,对中国各省份经济区域划分方案以及各省份经济增长模式等问题做了研究和预测,并将结果与传统的层次聚类方法的结果做了比较。研究结果表明,层次聚类算法对于全国经济区划的整体分析结果相对直观并且应用方便,双聚类算法的结果在挖掘各省在某些属性集合下的共性具有其独特的优势。
Based on macroeconomic statistical data of China, biclustering method is firstly applied to C regionalization and made indepth researches and bold prediction on the plan of economic regionalization and the mode of economic development of each province. The comparisons of results between biclustering method and traditional hier archical clustering method are given, which indicate that hierarchical clustering method with intuitive outputs can be used conveniently in regionalization research and that biclustering method has its own advantage of measuring the simi larity between provinces under specific attributes.
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2012年第9期71-77,共7页
Journal of Shandong University(Natural Science)
关键词
聚类
双聚类
经济区划
经济增长模式
clustering method
biclustering method
economic regionalization
economic growth mode
