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- 主成分分析（PGA）Principal component analysis(PCA)
- 基于主成分分析的核Fisher判别方法在油水识别中的应用Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer
- 基于主成分分析的径向基函数神经网络在电力系统负荷预测中的应用APPLICATION OF RADIAL BASIC FUNCTION NETWORK BASED ON PRINCIPAL COMPONENT ANALYSIS IN LOAD FORECASTING
- 主成分分析法及模糊综合评判法用于医院科室效益评价的对比Comparison analysis of synthetic benefit evaluation for departments in hospital using principal components analysis and ambiguity synthetic judgment
- 摘要核主成分分析方法是主成分分析的改进算法，其采用非线性方法提取主成分。KPCA extracting principal component with nonlinear method is an improved conventional PCA.
- 核主成分分析KPCA
- 2维主成分分析2DPCA
- 主成分分析法。Subject the matrix to principal components analysis.
- 主成分分析凄Principal Component Analysis
- 共同主成分分析common principal component analysis
- 二维主成分分析two-dimensional principal component analysis
- 局部主成分分析local principal component analysis
- 函数主成分分析functional principal components analysis
- 模糊主成分分析fuzzy principal component analysis
- 概率主成分分析PPCA
- 全局主成分分析all-around principle component analysis
- 主成分分析方法principal component analysis
- 分段主成分分析segmented principal component analysis
- 核的主成分分析kemel component analysis
- 渐近主成分分析near key component analysis
