Well-known linear transformation methods include, for example, principal component analysis, factor analysis, and projection pursuit.
著名的线性变换的方法包括，例如，主成分分析，因子分析，投影寻踪。
Part 2 is in the Projection Pursuit ideology high-dimensional data principal component analysis dimensionality reduction theoretical analysis and practical application;
第2部分进行的是在投影寻踪思想下对高维数据主成分分析降维的理论分析和实践应用；
In this paper, inverse projection principal component analysis (IPPCA) method is presented by way of research on PCA characteristics for improving its monitor sensitivity and diagnosis accuracy.
本文针对主元分析（PCA）方法在故障检测和诊断应用中的特点，对其进行拓展性研究，提出一种逆投影主元分析方法，意在提高故障检测灵敏度和诊断准确性。
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