搜索资源列表
Fault1_PCA
- 利用主成分分析方法，对TE模型产生的故障数据故障1进行故障检测-Using principal component analysis, on the TE model failure data generated by a fault detection fault
methods_of_classification
- 这里和大家分享的几种基础的分类方法，其中包括判别聚类分析、人工神经网络、主成分分析等-Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
PCA
- 主成分分析代码，用matlab实现的，请大家参阅。-Principal component analysis code, matlab implementation, please refer to the.
emd
- 经验模式分解(EMD)将信号分解成多个IMF分量，每个IMF分量代表一定频率尺度的模式完整源代码-Empirical Mode Decomposition (EMD) to decompose the signal into a number of IMF components, each component of IMF on behalf of a certain frequency-scale model of the full source code
pca
- 主要的源代码成分分析，您可以加载数据，然后可以直接使用无需修改-Principal component analysis of the source code, you can load data, and then can be used directly without modification
MPCALDA
- 编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
PCA
- Principal Component Analysis. Very important for pattern recognition(ie. optical character recognition) A great fundamental file for the beginner. Even those who doesn t know what is variance can start learning about OCR basics from this pdf.-Princip
PCA-Matlab-CODE
- 主成分分析源代码，有详细说明，中文详细说明-Principal Component Analysis Matlab CODE
largest-component
- 此程序用于大数据处理，一共有两个文件夹，是用matlab编的-For large data processing of this program, a total of two folders, is a matlab
Principal-Component-Analysis
- principle component analysis using matlab
ICA-MATLAB-HB
- 独立成分分析ICA利用MATLAB实现。可以运行，简单易懂，方便学习-Independent component analysis ICA using MATLAB implementation. You can run, easy to understand, easy to learn
principle-component-analysis--matlab
- 利用Matlab编程实现主成分分析， Cwstd.m——用总和标准化法标准化矩阵 Cwfac.m——计算相关系数矩阵；计算特征值和特征向量；对主成分进行排序；计算各特征值贡献率；挑选主成分（累计贡献率大于85 ），输出主成分个数；计算主成分载荷 Cwscore.m——计算各主成分得分、综合得分并排序 Cwprint.m——读入数据文件；调用以上三个函数并输出结果 -The use of principal component analysis Matlab programmi
createMaskRED2
- Colour Detection: RED Component : MATLAB
Robust-PCA-matlab-code
- Robust Principal Component Analysis with Complex Noise
zhuchengfen1123
- 主成分分析的matlab程序，很有用的程序(It is very useful.Based on the principal component analysis of the matlab program)
pca
- 主成分分析在matlab中应用，已经过实践分析。(Application of principal component analysis in matlab.)
4737
- Ensure accurate communication is learning a good helper, Independent component analysis for image processing, cordic matlab simulation algorithm.
pca
- 主成分分析实现代码，以测试集辛烷值含量预测结果对比为例，内附数据，代码，matlab实现(Principal component analysis implementation code)
matlab表情识别
- Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly,