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pca
- 经典主成分分析法，实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
LBPandPCA
- 为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
pca
- 基于主成分分析的人脸特征提取的MATLAB源代码，通过测试的-Principal component analysis based on human face feature extraction MATLAB source code, pass the test
pca
- 主成分分析算法，很经典的编写matlab的方式，极其类似系统函数-Principal component analysis algorithm, very classic written in MATLAB, very similar to the system function
pca-daima
- 近红外光谱主成分分析，适用于各类光谱定性和定量计算使用-Near Infrared Spectroscopy principal component analysis, applicable to all types of spectrum use qualitative and quantitative calculation
fastPCA
- 快速PCA变换。对样本矩阵进行快速主成分分析降维，输出降维后的K维样本特征向量组成的矩阵。-fast pca coad。
zijibianxiePCA
- 自己编写的PCA主成分分析法，希望能够帮助大家-I have written the PCA principal component analysis method, hoping to help everyone
ecauh
- 正确率可以达到98％，借鉴了主成分分析算法（PCA），最大似然（ML）准则和最大后验概率（MAP）准则。- Accuracy can reach 98 , It draws on principal component analysis algorithm (PCA), Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
qfnfy
- 是一种双隐层反向传播神经网络，借鉴了主成分分析算法（PCA），包括面积、周长、矩形度、伸长度。- Is a two hidden layer back propagation neural network, It draws on principal component analysis algorithm (PCA), Including the area, perimeter, rectangular, elongation.
2206
- IMC-PID是利用内模控制原理来对PID参数进行计算，分析了该信号的时域、频域、倒谱，循环谱等,借鉴了主成分分析算法（PCA）。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It d