搜索资源列表
probabalistic_PCA
- Probabilistic Principal Component Analysis – Latent variable models – Probabilistic PCA • Formulation of PCA model • Maximum likelihood estimation – Closed form solution – EM algorithm » EM Algorithms for regular PCA
KPCA_p
- 核主成分分析中使用多项式核函数时的MATLAB代码，有注释，易看懂。-Kernel Principal Component Analysis in the use of polynomial kernel function of the MATLAB code, annotated, easy read.
pca
- 神经计算的实验作业。用principle components analysis计算模式的主分量。提取线性输入的特征。-Neural computing experiment operations. Computing model using principle components analysis of the principal component
PCA
- 用Matlab实现主成分分析（PCA)算法.-Principal component analysis using Matlab implementation (PCA) algorithm.
fingerprint11
- pdf for fingerprint from ieee include: PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition in Online Examination System Processing of Distorted Finger
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
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
principal-component
- matlab关于主成分分析的代码，使用于经济医疗等分析-a program code on matlab of principal component,it s used in economic,healthy and so on.
surfature
- [K,H,P1,P2] = surfature(X,Y,Z) returns the gaussian curvature of a surface (K), mean curvature (H), and principal curvatures (P1,P2). The inputs (X,Y,Z) are 2D arrays corresponding to the surface being analyzed. Example [X,Y,Z] = peaks [K,
asgn3
- Camera calibration consists in the estimation of a model for an un-calibrated camera. The objective is to find the external parameters (position and orientation relatively to a world co-ordinate system), and the internal parameters of the camera (pri
MPCA-Multilinear-Principal-Component-Analysis-of-
- MPCA Multilinear Principal Component Analysis of Tensor Objects with MATLAB
progarmlab4
- The Principal component analysis, is a standard technique used for data reduction in statistical pattern recognition and signal processing A common problem in statistical pattern recognition is feature selection or feature extraction. Feature selec
principal-com-gaussian-elnat
- 列主元高斯消去法，数值计算必备方法，通俗易懂-principal component gaussian elimination
Principal-component-elimination
- 列主元消去法在VC++环境中运行用于计算方法作业-Principal component elimination method in the column VC++ environment to run operations for the calculation of
Principal-contens-analysis(PCA)
- 用于主成分分析（PCA）,包括，原变量相关系数矩阵的特征向量和特征值的求解，主成分的提取，载荷值的确定等-Used principal component analysis (PCA), including the original variable correlation matrix eigenvectors and eigenvalues of the solution, the main component of the extract, load value
Principal-component-analysis
- 用于主成分分析学习,非常强大，一学就会，分享了-for Principal component analysis
Principal-component-analysis
- 主成份分析法在证券市场个股评价中的应用，可以用SPSS软件解决-Principal component analysis in the stock market evaluation of individual stocks, you can use SPSS software to solve
Principal-component-analysis-and-GUI
- matlab 关于主成分分析的详细代码，附带数据及gui界面文件，可直接运行-matlab on principal component analysis of the detailed code , files with data and gui interface can be run directly
Principal-component-analysis
- 利用Matlab和SPSS实现主成分分析,主成分分析的好工具。-The use of Matlab and SPSS realize the principal component analysis, principal component analysis tool.
matlab-principal-component-analysis
- 利用matlab进行主成分分析，有现成的代码和数据，主成分分析例子-Use of matlab for principal component analysis, have a ready-made code and data, principal component analysis example