(6)聚类分析例子

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1、例题1：下表是我国16个地区农民在1982年支出情况的抽样调查数据的汇总资料，每个地区都调查了反映每人平均生活消费支出情况的六个指标。试利用调查资料对16个地区进行分类。生活用品及其文化生活服务支地区食品衣着燃料住房他出北京190.3343.779.7360.5449.019.04天津135.236.410.4744.1636.493.94河北95.2122.839.322.4422.812.8山西104.7825.116.49.8918.173.25内蒙古128.4127.63&9412.5823.993.27辽宁145.6832.831

2、7.1927.2939.093.47吉林159.3733.3818.3711.8125.295.52黑龙江116.2229.5713.2413.7621.756.04上海221.1138.6412.53115.6550.825.89江苏144.9829.1211.6742.627.35.74浙江169.9232.7512.7247.1234.355安徽153.1123.0915.6223.5418.186.39福建144.9221.2616.9619.5221.756.73江西140.5121.517.6419.1915.974.94山东1

3、15.8430.2612.233.6133.773.85河南101.1823.268.4620.220.54.3下面用统计学软件SAS(StatisticalAnalysisSystem)datadfdf;inputcity$xlx2x3x4x5x6;cards;beijing190.3343.779.7360.5449.019.04tianjing135.2036.4010.4744.1636.493.94hebei95.2122.839.3022.4422.812.80shanxi104.7825.116.409.8918.173・25

4、neimenggu128.4127.638.9412.5823.993.27liaoning145.6832.8317.1927.2939.093.47jilin159.3733.3818.3711.8125.295.22heilongjiang116.2229.5713.2413.7621.756.04shanghai221.1138.6412.53115・6550.825・89jiangsu144.9829.1211.6742.6027.305.74Zhejiang169.9232.7512.7247.1234.355.00anhui1

5、53.1123.0915.6223.5418.186.39fujian144.9221.2616.9619.5221.756.73jiangxi140.5421.5017.6419.1915.974.94Shandong115.8430.2612.2033.6133.773.85henan101.1823.268.4620.2020.504.30;run;procclusterdata=dfdfstdouttree=treemethod=avepesudorsq;idcity;run;离差平方和法war;类平均法ave;重心法cen;最长距

6、离法com;中间距离法med;最短距离法sin;密度估计法den;极大似然法eml;可变类平均fie;相似分析法mcq;两阶段密度估计two;*/proctreedata=treeout=newgraphicshorizontal；idcity;run;ClusterHistoryNormRMSNCLClustersJoinedFREQSPRSQRSQPSFPST2Dist15anhuifujian20.00250.99828.7■0.19314hebeihenan20.00550.99219.10.286913CL14shanxi30.0

7、0680.98516.71.20.311612CL15jiangxi30.00990.97514.440.348111jiangsuzhejiang20.00890.96614.4■0.36610CL13neimengg40.01060.95614.41.70.36929tianjingshandong20.00920.94715.5■0.37118CL9CL1140.02370.92313.72.60.49577liaoningJilin20.01890.90414.1■0.53296heilongjCL1240.02670.87714.

8、34.30.54635CL8CL760.05280.82412.93.50.66814CL5CL6100.12690.6989.26.60.78233CL4CLIO140.195