小康水平的模糊聚类与因子分析  

Fuzzy Cluster and Factor Analysis of Well-off Level

作　　者：谢超峰[1] XIE Chao-feng （School of Economic and Management, Henan Normal University, Xinxiang 453007, China）

机构地区：[1]河南师范大学经济与管理学院,河南新乡453007

出　　处：《新乡学院学报（社会科学版）》2008年第5期78-80,共3页Journal of Xinxiang Teachers College

摘　　要：以树立科学发展观为出发点,对2004年全国35个主要城市选取了7大类15项指标作为小康水平评价体系,依据此指标体系,基于matlab平台,进行模糊聚类分析,并构造F统计量确定最佳分类数为6类,借助因子分析对结果进行了简单说明,为全面建设小康社会提供科学依据。In this paper, based on The Scientific Concept of Development, the author selected 15 indicators of seven major categories as well-off standard evaluation system for 35 major city in 2004. Based on this index system with the use of MATLAB platform, the author applied fuzzy cluster analysis and structure F-statistics to determine the optimal class number for the six categories of classification, using factor analysis of the results of a simple description for the compre- hensive construction of a well-off society to provide a scientific basis.

关 键 词：模糊聚类 小康社会指标 最佳分类数 因子分析 

分 类 号：F062.9[经济管理—政治经济学]