| 气候突变的聚类分析 |
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| 引用本文： | 程乾生,朱迎善.气候突变的聚类分析[J].地球物理学报,1998,41(3):308-314. |
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| 作者姓名： | 程乾生 朱迎善 |
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| 作者单位： | 1. 北京大学数学科学学院,北京,100871;
2. 哈尔滨理工大学管理系,哈尔滨,150080 |
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| 基金项目： | 国家自然科学基金!19671022 |
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| 摘 要： | 气候数据是时间序列，是一类有序样品．本文给出了一种新的有序样品谱系聚类算法，先对数据进行平滑拟合，然后用聚类分析的方法分析了北半球的气候资料，证实了1920年为气候突变点．同时也找到了较低的各个层次上的突变点．
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| 关 键 词： | 气候突变 平滑拟合 聚类分析 |
| 收稿时间： | 1996-11-25 |
CLUSTER ANALYSIS OF CLIMATE JUMP |
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| CHENG QIAN-SHENG,ZHOU XIAO-BO.CLUSTER ANALYSIS OF CLIMATE JUMP[J].Chinese Journal of Geophysics,1998,41(3):308-314. |
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| Authors: | CHENG QIAN-SHENG ZHOU XIAO-BO |
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| Institution: | 1. Mathematic instItute, Peking University, Bejing 100871, China;
2. Harbin University of Science and Technology, Harbin 150080, China |
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| Abstract: | The Climate data is a time series which can be considered as a series of ordered samples. In this paper, a new method-hierarchy cluster algorithm of ordered samples is presented. First,the samples are processed by smoothing fit.Then the cluster analysis has been used in the analysis of climate data. It is shown that the 1920th year is the jump point. Moreover, jump points of lower each hierarchy have been discovered. |
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| Keywords: | Climate jump Smoothing fit Cluster analysis |
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