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本文提出一种利用平行坐标图的多元信息表示对主成分分析特征提取方法进行优化的分类技术。
A novel method for optimizing the principle component analysis in feature extraction is proposed, which making use of parallel coordinate plot for graphical presentation of multivariate information.
主成分分析属多元统计方法，正逐步成为控制领域中一种重要的数据处理方法，用于生产监测和质量控制。
Principle component analysis is based on multi-statistics method, and turning into an important way to proceed data for production monitoring and quality control.
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