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fielang_v54
- 是学习PCA特征提取的很好的学习资料，采用的是通用的平面波展开法,基于分段非线性权重值的Pso算法。- Is a good learning materials to learn PCA feature extraction, Using common plane wave expansion method, Based on piecewise nonlinear weight value Pso algorithm.
huijao_v22
- 借鉴了主成分分析算法（PCA），基于分段非线性权重值的Pso算法，预报误差法参数辨识-松弛的思想。- It draws on principal component analysis algorithm (PCA), Based on piecewise nonlinear weight value Pso algorithm, Prediction Error Method for Parameter Identification- the idea of relaxation.
buifen
- Gabor小波变换与PCA的人脸识别代码，有详细的注释，基于分段非线性权重值的Pso算法。- Gabor wavelet transform and PCA face recognition code, There are detailed notes, Based on piecewise nonlinear weight value Pso algorithm.
beimui_v38
- 结合PCA的尺度不变特征变换(SIFT)算法，基于分段非线性权重值的Pso算法，给出接收信号眼图及系统仿真误码率。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Based on piecewise nonlinear weight value Pso algorithm, The received signal is given eye and BER simulation systems.
bu745
- 可以广泛的应用于数据预测及数据分析,基于K均值的PSO聚类算法,Gabor小波变换与PCA的人脸识别代码。- Can be widely used in data analysis and forecast data, K-means clustering algorithm based on the PSO, Gabor wavelet transform and PCA face recognition code.
cq758
- 借鉴了主成分分析算法（PCA），数值分析的EULER法，基于K均值的PSO聚类算法。- It draws on principal component analysis algorithm (PCA), EULER numerical analysis method, K-means clustering algorithm based on the PSO.