聚类分析实验75571

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1、对北京地区18区县中等职业教育发展水平进行聚类，聚类的依据是x(l):每万人屮职在校生数，x(2):每万人中职招生数，x(3):每万人中职毕业生数，x(4):每力人中职专任教师数，x⑸:本科以上学校老师占任教师的比例，x(6):高级教师占专任教师的比例，x(7):学校平均在校生人数，x(8):国家财政预算屮职经费占国内生产总值的比例，x(9):生均教育经费，数据如表11.1表示。表11」北京地区中等职业教育发展水平情况表县区X(l)x⑵X⑶x(4)x(5)x(6)x(7)x(8)x(9)东城1565345150.5070.245701

2、0.01095356西城1194231130.5020.3315520.00636449崇文2027257160.5660.1936330.01685357宣武1765731120.6300.2345840.01556432朝阳2217745170.4990.2545530.02286625海淀1696442130.5730.1835730.00485840丰台1666648150.4440.1424650.01125532石景山1926152190.5240.0855350.01585695门头沟1275333300.1430.02

3、63760.00573904房山1153825100.5710.1276180.00617020昌平2328066190.5310.1064910.00725089顺义67351750.3410.0794030.00063056通县98402570.5330.1074740.000315559大兴2057667160.5970.1296160.01074490平谷81392170.1980.0305330.00072518怀柔1215227120.2230.0766370.00234149密云84412260.5580.0916180

4、.00434376延庆78312350.3660.0704240.00394677建立数据文件取名为“EG11-1,SAR”女II下图q(x)X1x2x3x4x5x6x7x8x91东城1565345150.5070.2457010.010953562西城1194231130.5020.3315520.006364493崇文2027257160.5660.1936330.016853574宣武1765731120.6300.2345840.015564325朝阳2217745170.4990.2545530.022866256海淀169

5、6442130.5730.1835730.004858407丰台1666648150.4440.1424650.011255328石景山1926152190.5240.0855350.015856959门头沟12753333()0.1430.0263760.0057390410))｝山1153825100.5710.1276180.0061702011昌平2328066190.5310.1064910.0072508912顺义67351750.3410.0794030.0006305613通县98402570.5330」074740.

6、00031555914人兴2057667160.5970.1296160.0107449015平谷81392170.1980.0305330.0007251816怀柔1215227120.2230.0766370.0023414917密云84412260.5580.0916180.0043437618延庆78312350.3660.0704240.00394677步骤：1、单击"analyze”菜单屮"classify”菜单屮的“Hierarchicalclaster...命令2、单击aHierarchicalclasteranaly

7、sis对话框，从其左侧的变量列表中选“xl”“x2”…“x9”变量，添加到右侧的"variable(s)：”，选择g(x)变量添加到"labelcasesby："中。3、单击“method...”，弹出“Hierarchicalclasteranalysis：method”，在“clastermethod：v小指定小类Z间的距离计算方法，选择“interval”屮的“squaredeuclideandistance",单击"continue返回"Hierarchicalclasteranalysis"。4、单击“plots...”，弹

8、出aHierarchicalclasteranalysis：plots”,选中"dendiogran”,并选择纵向vetial输出类聚全过程的冰柱图,单击“continue",返回“Hierarchicalclaster