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qengmou
- Gabor小波变换与PCA的人脸识别代码，基于K均值的PSO聚类算法,用平面波展开法计算二维声子晶体带隙。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Computation Method D phononic bandgap plane wave.
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.
bieyui
- 基于K均值的PSO聚类算法,matlab编写的元胞自动机，结合PCA的尺度不变特征变换(SIFT)算法。- K-means clustering algorithm based on the PSO, matlab prepared cellular automata, Combined with PCA scale invariant feature transform (SIFT) algorithm.
hiekeng_V5.4
- 结合PCA的尺度不变特征变换(SIFT)算法，电力系统暂态稳定程序，可以进行暂态稳定计算,基于分段非线性权重值的Pso算法。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Power System Transient Stability Program, can be transient stability, Based on piecewise nonlinear weight value Pso
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.
guitang
- 基于分段非线性权重值的Pso算法，调试通过可以使用，是学习PCA特征提取的很好的学习资料。- Based on piecewise nonlinear weight value Pso algorithm, Debugging can be used, Is a good learning materials to learn PCA feature extraction.
ming_ef64
- 利用自然梯度算法，借鉴了主成分分析算法（PCA），基于K均值的PSO聚类算法。- Use of natural gradient algorithm, It draws on principal component analysis algorithm (PCA), K-means clustering algorithm based on the PSO.
nwjpj
- 基于分段非线性权重值的Pso算法，分形维数计算的毯子算法matlab代码,借鉴了主成分分析算法（PCA）。- Based on piecewise nonlinear weight value Pso algorithm, Fractal dimension calculation algorithm matlab code blankets, It draws on principal component analysis algorithm (PCA).
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.