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principal component analysis

  • 主成分分析：一种常用的统计分析方法，用于降低数据维度并发现数据中的主要变化模式。它通过线性变换将原始数据转换为一组互相不相关的主成分，以便更好地理解和解释数据。

双语例句

  1. The principal component analysis implements the column-wise compression, using the correlation between attributes.
    主成分分析使用属性之间的相关性实现按列压缩。
  2. Methods of principal component analysis, grey incidence analysis were employed.
    研究方法：主成分分析法、灰关联分析。
  3. Listed companies; performance evaluation; strategic; principal component analysis; entropy method.
    上市公司；业绩评价；战略；主成分分析；熵值法。

网络短语

  • Kernel Principal component analysis
    核主成分分析；核主元分析；核主分量分析；核函数主成分分析
  • Nonlinear Principal Component Analysis
    非线性主成分分析
  • multiway principal component analysis
    多向主元分析
  • type-R principal component analysis
    R型主成分分析
  • ahp and principal component analysis
    ahp与主成份分析

英英释义

  • Principal component analysis (PCA) is a mathematical procedure that uses orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables.