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【单选题】

在主成分分析中,对原始数据作标准化处理后得到其相关系数矩阵的特征值及特征向量如下表所示: 4.9154 (0.4314, 0.4067, 0.3872, 0.4191, 0.3539, -0.1778, -0.3138, 0.2602) 1.2435 (-0.0521,-0.3403,0.0257,-0.3145,0.0687,-0.7200,0.0066,0.5087) 0.7743 (-0.2824,0.1341,-0.4068,0.0195,0.3208,-0.3783,-0.5111,-0.4787) 0.5885 (0.0040,-0.0563,-0.1471,-0.0019,-0.5576,0.2004,-0.7143,0.3373) 0.3562 (0.1220,-0.0732,0.5226,0.0291,-0.5244,-0.3901,-0.0495,-0.5256) 0.0995 (0.0142,0.4943,-0.4591,0.3277,-0.4242,-0.3359,0.3554,0.1352) 0.0209 (0.8455,-0.1518,-0.3917,-0.2695,0.0148,-0.0173,-0.0072,-0.1882) 0.0017 (0.0380,-0.6519,-0.1584,0.7377,0.0328,-0.0371,0.0342,-0.0255) 设累计贡献率大于75%的主成分为 ,则综合得分 的表达式为( ).

A.
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B.
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C.
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D.
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参考答案:
参考解析:
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举一反三

【单选题】对主成分分析PCA方法描述正确的是:

A.
投影矩阵是正交矩阵
B.
进行非正交投影
C.
PCA不需要进行样本去均值
D.
投影到特征值最小的方向