马氏距离聚类分析中协方差矩阵估算的改进
Journal of Applied Statistics and Management(2011)
Abstract
本文考虑了变量权重和样本类别的影响,建立了马氏距离聚类过程中评估协方差矩阵的迭代法.以Fisher的iris数据为样本,运用欧氏距离一般聚类、主成分聚类、改进前后的马氏距离聚类方法,进行实证分析和比较,结果表明本文所提出的新方法准确率至少提高了6.63%.最后,运用该方法对35个国家的相关指标数据进行聚类分析,确定了各国的卫生保健状况等级.
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Key words
covariance matrix,Mahalanobis distance,hygiene condition,cluster analysis
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