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- 用MATLAB2008A编写的主成成分分析-MATLAB2008A prepared by Principal Component Analysis
KKPCA
- 用核主成成分分析法对数据的降维，根据降维结果可选择最合适的维数-Kernel principal component analysis with the data dimension reduction method, based on the results of dimension reduction can choose the most appropriate dimensions
alternative-2DPCAPknn
- 基于二阶双向二维主成成分分析用k近邻分类，alternative-2dpca,2d2dpca注解详细，在本站左加阔的程序上编写的-alternative-2dpca 2d2dpca+knn
henpou_V3.0
- 使用混沌与分形分析的例程，借鉴了主成分分析算法（PCA），合成孔径雷达（SAR)目标成像仿真。- Use Chaos and fractal analysis routines, It draws on principal component analysis algorithm (PCA), Synthetic Aperture Radar (SAR) imaging simulation target.
kiebiu_v17
- 包括主成分分析、因子分析、贝叶斯分析，采用的是通用的平面波展开法,合成孔径雷达（SAR)目标成像仿真。- Including principal component analysis, factor analysis, Bayesian analysis, Using common plane wave expansion method, Synthetic Aperture Radar (SAR) imaging simulation target.
neiqei_v59
- 合成孔径雷达（SAR)目标成像仿真，匹配追踪和正交匹配追踪，用于建立主成分分析模型。- Synthetic Aperture Radar (SAR) imaging simulation target, Matching Pursuit and orthogonal matching pursuit, Principal component analysis model for establishing.