| 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。 |
| 关键词: 有序样本,分类方法,农业机械化水平 |
| DOI： |
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| 基金项目:中国博士后科学基金 |
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| A Clustering Method for Ordering Samples and Its Utilization in Study of Farm Mechanization Level |
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| Abstract: |
| 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. |
| Key words: ordering samples,clustering method,farm mechanization level |
