搜索资源列表
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.
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.
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
pca
- 用于主成分分析(pca)的程序(c++)-principal component analysis C++ program
cdaaima-pca
- 实现pca主成分分析算法的c语言代码,希望能帮到大家。-Pca principal component analysis algorithm to achieve the c language code, hope to help you.
主成分回归MATLAB
- 为了方便使用主成分回归,这里给出用matlab做主成分回归的详细代码,已经过运行检验
zcffx
- 利用主成分分析分析主要因素。(principal components)
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.)
pca
- 主成分分析,降维等处理,能够较好的分析出主要成分,并对其进行降维以便于其他的运算(Principal component analysis, dimension reduction and other treatment, can better analyze the main components, and its dimensionality to facilitate other operations)
pca
- 主成分分析法的c++代码,有俩个版本的实现方法(C++ code of principal component analysis)
PCA-SVM
- 用于主成分图像svm分类,简单,有很好的程序,适合初学者(SVM for principal component image classification, simple, there are very good procedures for beginners)
PCA
- 该代码主要实现样本的主成分分析,包括一个xls文件的数据样本,一个PCA的主程序。(This code is usedto realize principal component analysis, including a XLS file of data samples and a PCA main program.)
主成分分析法
- 主成分分析发doashdasnlkasnlkasnd(principal component analysis)
《MATLAB统计分析与应用3》
- 距离判别分析法、贝叶斯判别分析法;主成分分析matlab函数等(Distance discriminant analysis, Bias discriminant analysis, principal component analysis, matlab function, etc.)
spca
- 本程序实现稀疏主成分分析,相关方法在 H. Zou, T. Hastie, and R. Tibshirani的Sparse principal component analysis中有详细介绍(For SPCA, the method introduced in "Sparse principal component analysis" by H. Zou, T. Hastie, and R. Tibshirani)
主成分分析
- 该代码是主成分分析法的matlab实现,简单方便使用(The code is the principal component analysis of Matlab implementation, simple and convenient to use)
主成分分析法
- 内涵主成分分析法的PPT,案例和matlab编写的代码。(Connotation of principal component analysis of PPT, case and matlab prepared by the code.)