Algorithm comparison of regional economic resources niche categories

摘要：

Firstly, regional economic classification was made by clustering algorithms, which could be referenced by Support Vector Machine classification. Then Support Vector Machine classification was made to classificatory regional economic resources niche. Furthermore, more detailed classification was made under different economic resources niche indicators, which solve the problem of inadequate samples, making Categories strong operational and practical significance. Thus, more reasonable classification could be made by support vector machine model through the establishment of relatively small samples.

关键词： resources niche categories clustering support rector machine algorithm

作者: Qi Lv

作者单位: North China University of Water Resources and Electric Power,School of Management and Economics,Zhengzhou, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 677-680

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）