聚类分析和判别分析实验五

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1、实验五、聚类分析和判别分析一、Q型聚类分析以下是15名同学的数学成绩与期末平均分的数据，进行聚类分析:-11989SN286EV—S_36668V86OSSGOSe-a66GSG-a776787GO889099eo86-1O-1O9694-1-1OS96rN!-1N86as-13

2、-13"7*096S3rm1-1S8688打开分析，分类,系统聚类分析，得到下表：分别对统计量、绘制、方法、保存进行编辑，如下表:绘制统计量方法保存结果如下:案例处理汇总3案例有效缺失总计N百分比N百分比N百分上匕1593.816.316100.0a.平均联结（组之间）»«1:12:23344556

3、68899101011:111212131314141515110002650001818000244000290000206000016370001460001620005000100002440001781000800019300022265000000697000100010008410005860003700013000200000225000100068000018100016000331818000697000000730000656000160005000968000900000163700016840007300005000158600084100044244

4、0001000730000000200088200061700026000100001810002020000007090001640009000552900001000656000200000080000054900040000200002210002440002000637000202000170006620500008410001600088200080000000029000116000010600001861000192400088200037000180200010170007716370005060005000617000549000”000000•41000"

5、)00014660001S13000617000100001417000722000881460003700096800026000400001160000041000000200009700010000026000929000900005000991620001300090000010000200001060000773000200000001130001360001000060100098000130001010500020000016370001810002210001861000146600097000113000000500018100016000001000136

6、0001111100002250001684000202000244000192400015130001000001360005000000202000163700010000145000U1224400010007300000002000892000617000托00010000ieiooo2020000007090001640009000U13178100069000050007090006370003700010000皿000W100016000001637000700000000155300080800014148000181000158600016400020200

7、01602000141700090000MOOO10001000016400015530000001250001515193000160008410009000170001017000W00050001300013«0001450000000B08000125000000平均联结C俎之冋〉seiftMEI承敝下一盼IfT.Wr1冇娠2CTW?1冇.联21412OOOOO421O141OOOOO73251OOOOO44241.500311O58155OOOOO1163135.000OO8711O6.500O298377.5006O1291T18.3337O131O2913.2S

8、O4O11112821・3001O513123627.3338O1413121768219111414131117.9091312O做的树状图:、戶shk书衣ccufj>rrj二、R型聚类分析为了分析某企业绩效水平，按照综合性、可比性、实用性和易操作性的选取指标原则，选择了影响某企业绩效水平的成果、行为、态度等6个指标数据如下:职工代号工作产量工作质量工作岀勤工作损耗工作态度工作能力1119.629.62&37&639.869.7422&838.839.389.799.989.7333&73&73&74