SAS论文(张燃3080801119)

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1、《统计软件应用与开发》论文SAS在聚类分析问题中的应用与研究学号：3080801119班级：数学081姓名：张燃SAS在聚类分析问题中的应用与研究摘要本文通过SAS软件来解决1984年欧洲22个国家在7个项目上的女子记录的聚类分析问题。本文首先介绍了一些SAS基本知识，然后给出了与聚类分析相关的的理论知识，比如距离，相关性，并给出了具体的数学表达式。根据这些理论知识结合聚类分析的定义以及本文的研究目的，本文运用SAS中三种比较常用的聚类分析方法对问题进行研究分析：一、VARCLUS变量间聚类分析，本模型主要是对变量内的联系进行聚类分析，并给出了相关的结果：7个分量分成

2、5组，其中m100和m200分成一组，属于短跑类型；m1500和marathon成为第二类，属于中长跑，而另外三个变量各成一类。二、FASTCLUS变量间聚类分析，本模型是对变量间进行聚类分析，得出结果如下1类中有挪威，葡萄牙，爱尔兰，西德，英国；2类中有西班牙，罗马尼亚，波兰，以色列，奥地利5个国家；3类由瑞士，瑞典，荷兰，意大利，丹麦，比利时，芬兰，法国，东德。9个国家组成，4类仅有土耳其一国；5类由多卢森堡和希腊组成，总的来说实力由强到弱的类的顺序为3，1，2，5，4。三、CLUSTER树法变量间聚类,本模型给出了22个国家在聚类过程中的具体“中间”过程，通过树

3、的形式形象而明确的给出了分类的具体结果。最后对三中模型的优缺点进行对比分析，本文认为各自特点鲜明，且相互补充，而且聚类结果和实际情况相吻合。关键字：SAS聚类分析距离VARCLUSFASTCLUSCLUSTERTREE目录摘要······························································1一、研究目的···························································1二、采用方法·······································

4、····················1三、理论知识···························································13.1SAS简介························································13.2聚类分析定义····················································13.3聚类方法分类····················································13.4距离的相关定义·

5、·················································23.5相似系数························································33.6类间距离定义····················································33.7聚类分析一般步骤···············································3四、数据的预处理············································

6、···········4五、具体模型···························································45.1变量聚类分析·····················································45.1.1用VARCLUS过程实现变量间聚类分析·····························45.1.2编写程序······················································45.1.3输出结果···················

7、···································45.1.4结果分析······················································75.2FASTCLUS变量间聚类分析········································75.2.1用FASTCLUS进行变量间聚类分析································75.2.2编写程序······················································