摘要
基于动态规划思想提出了一种有序样本的分类方法，能够识别子样（分段）间的分点，接问题的需要将整个样本划分成不同子作，使整个分类达到某种目标下的最优。应用于农业机械化发展水平的分类研究，取得了与实际情况一致的效果。
A clustering method for the ordering samples is discussed based on the dynamic programming. It can be used to identify the breaking points and divide the sample into some sub-samples at where there are significant differences between the neighbor sub-samples, and obtain the optimum clustering results under a certain criterion. This method has been used in the evaluation of farm mechanization levels of different provinces in China. The results proved that this method is practical.
出处
《中国农业大学学报》
CAS
CSCD
北大核心
1999年第6期1-5,共5页
Journal of China Agricultural University
基金
中国博士后科学基金
