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1、聚类分析作业例题：countrypopulatndensityurbanreligionlifeexpflifeexpmliteracypop_incrbabymortgdp_capregioncaloriesaidsbirth_rtdeath_rtaids_rtlog_gdplg_aidsrb_to_dfertiltylog_popcropgrowlit_malelit_femaclimateAfghanistan20,50025.018Muslim4445292.8168.02053NA053.0220.002.310.002.416.94.311244143Bangladesh125,0
2、00800.016Muslim5353352.4106.020232,021135.0110.002.310.243.184.75.106747225Cambodia10,00055.012Buddhist5250352.9112.026032,166045.0160.002.410.002.815.84.001648225China1,205,200124.026Taoist6967781.152.037732,6393821.070.002.580.323.001.86.081087688HongKong5,8005,494.094Buddhist807577-0.15.814,6413N
3、A9913.061.714.171.112.171.43.76790645India911,600283.026Hindu5958521.979.027532,22971329.0100.082.440.602.904.55.965564396Indonesia199,700102.029Muslim6561771.668.068132,7504924.090.022.830.482.672.85.30884685Japan125,500330.077Buddhist8276990.34.419,86032,95671311.070.574.300.891.571.65.1013NANA6Ma
4、laysia19,50058.043Muslim7266782.325.62,99532,77410729.050.553.480.895.803.54.29386705N.Korea23,100189.060Buddhist7367991.827.71,0003NA024.060.003.000.004.362.44.361899998Pakistan128,100143.032Muslim5857352.8101.04063NA4142.0100.032.610.504.206.45.112647218Philippines69,800221.043Catholic6863901.951.
5、086732,37513627.070.202.940.723.863.44.842690905S.Korea45,000447.072Protstnt7468961.021.76,6273NA1916.060.043.820.532.671.74.652199998Singapore2,9004,456.0100Taoist7973881.25.714,99033,1987516.062.594.181.212.671.93.46493845Taiwan20,944582.071Buddhist7872910.95.17,0553NANA15.6NANA3.85NANANA4.32NANAN
6、ANAThailand59,400115.022Buddhist7265931.437.01,80032,3165,65419.069.523.261.573.172.14.773496905Vietnam73,100218.020Buddhist6863881.846.023032,23310727.080.152.360.683.383.34.862293835进行聚类分析，步骤如下：1、 标准化的欧式距离聚类各类所属得出以上结果，以欧氏距离为计算距离方法，把以上17个亚洲国家地区按6个变量欧氏距离划分为三类。第一类为：Bangladesh第二类为：China 第三类为：Malaysia2、 尝试其他类间距离方法其他类间距离方法得出以上结果，以欧氏距离为计算距离方法，把以上17个亚洲国家地区按6个变量欧氏距离也可以划分为以下三类:第一类为：Bangladesh第二类为：China 第三类为：Malaysia3、用样本主成分画图由图可知，所聚成的3类中:第1类有5个样本，类间距离较接近，效果较好；第2类有6个样本，类间距离较接近，效果次之；第3类有6个样本。类间距离较离散，效果最差。1借鉴试题
