搜索资源列表
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.
2(2dpca)
- 两维pca变换,把图像进行二维的主成分分析得到降维向量,然后用此向量进行分类-2Dpca transfrom
pca
- pca分类算法,3个参数,一个是样本数据x,另外一个是主成分累积贡献率的一个闸值,作为选定主成分个数的一个重要数据。-pca classification algorithm, three parameters, one is the sample data x, the other is the main component of the cumulative contribution rate of the value of a g
SVDU
- 一种奇异值分解的更新算法,可以用来增量地进行主成分分析,根据文献《Incremental singular value decomposition of uncertain data with missing values》-《Incremental singular value decomposition of uncertain data with missing values》
main
- 主成分分析法,包含说明文档和5个MATLAB文件-Principal component analysis, including documentation and 5 MATLAB files
MultivariateAnalysis
- 主成分分析ppt。对主成分分析的细节讲述的很清楚。-Principal component analysis ppt. The details of the principal component analysis described in very clear.
pls
- 所谓偏最小二乘法,就是指在做基于最小二乘法的线性回归分析之前,对数据集进行主成分分析降维,下面的源码是没有删减的,GreenSim团队免费提供您使用,转载请注明GreenSim团队(http://blog.sina.com.cn/greensim)。 -The so-called partial least squares method, this means doing the least square method based on
ownpca
- MATLAB源程序,主成分分析法(PCA),这是一种降维的方法,可以用于多通道数字信号处理-MATLAB source code, principal component analysis (PCA), which is a dimension reduction method can be used for multi-channel digital signal processing
EasyPCA-1[1].0.tar
- C语言编写的PCA程序,实现主成分分析功能-C language of the PCA program to achieve the principal component analysis function
PCA
- 用来进行主成分分析,实现数据压缩功能,也可以做特征提取与分类-Be used for principal component analysis, data compression, you can also do feature extraction and classification
PCA_KNN
- 主成分分析+最近邻分类器,经典的原理介绍论文,可参照。-PCA+ nearest neighbor classifier, the classic paper describes the principle, can refer to.
PCA
- 一个关于主成分分析的matlab演示,十分有用-A principal component analysis on matlab demo, very useful
online
- 主成分分析算法,用于建立主成分分析模型,采用累计贡献率的方法-pca
KPCA
- 核主成分分析方法,是主成分分析的一种改进算法,是一种非线性的特征提取方法。 -Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.
pca
- 主成分分析程序,应用于图像特征提取,数据降维等方面 -the code of PCA
MultiwayPLS
- 一个很好的基于matlab的pls工具箱,可以进多线性数据的的主成分分析,偏最小二乘回归等。-A good toolbox based on matlab' s pls, can enter the data more linear principal component analysis, partial least squares regression.
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
Yale
- 这是一个模式识别中关于主成分分析的特征提取的matlab源码 -This is a pattern recognition principal component analysis on the feature extraction matlab source
dizhenshuxingyouhua_pca
- 采用主成分分析优化地震属性,通过雅克比方法计算特征值、特征向量。-Optimization using principal component analysis of seismic attributes, calculated by Jacobi eigenvalue, eigenvector.
svm
- svm核主成分分析,简单实用,毕业论文程序-svm kernel principal component analysis, simple and practical, graduation procedures