搜索资源列表
PCA-matlab
- 此程序为用于主成分分析的matlab程序，可以输出贡献率及画出二维散点图-this procedure for the Principal Component Analysis Matlab procedures can export contribution rate and the two-dimensional plot paint
pca-matlab-code
- pca主成分分析算法matlab源码，利用matlab实现pca算法。-pca principal component analysis algorithm Matlab source, using Matlab achieve pca algorithm.
PCA(matlab)
- 主成分分析算法（PCA），这是一个外国人编写的，很具有参考价值-principal component analysis algorithm (PCA), which was prepared by a foreigner, it is very valuable reference
matlab-pca
- matlab 主成分分析法程序，以目标威胁度评估为例
Matlab-pca-function
- Matlab中的主成分分析函数，对初学者比较适用
MATLAB
- 主成分分析的MATLAB程序代码，mni坐标转Talairach坐标的MATLAB程序代码
主成分分析 PCA
- PCA的matlab源代码.
the-matlab-code-for-mca
- 使用MATLAB程序实现主成分分析算法的计算和演示代码-the matlab code for mca
kpca_azaaza
- kpca 基于核主成分分析的源程序，有注释，希望对大家有帮助！-kpca based on kernel principal component analysis, source code, there are comments, want to help you!
Matlab
- 统计分析用的一些常用方法，比如回归、聚类、主成分分析、线性回归等的matlab程序-Some commonly used statistical analysis methods, such as regression, clustering, principal component analysis, linear regression of the matlab program
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
PCA-code
- 基于主成分分析方法的人脸重构，使用ORL人脸数据库-the face reconstruction based on PCA method
ear-recognition
- 基于主成分分析的人耳识别方法研究，使用方法为PCA，算法较为简单，易于编程-PCA-based ear recognition method, using the method for the PCA, algorithm is simple, easy to program
2DPCA
- 2DPCA 主成分分析法，处理图像压缩，特征提取的m代码-2DPCA principal component analysis, image compression processing, feature extraction of m code
pca
- PCA主成分分析，用于人脸识别，特征提取等-PCA principal component analysis for face recognition, feature extraction, etc.
Subpattern-based_principal___component_analysis.zi
- 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
pca_matlab
- 上传的附件为pca主成分分析算法matlab源码-From the Annex for the PCA principal component analysis algorithm matlab source
imagefusion
- 图像融合算法，高通滤波法、IHS法、PCA主成分分析、小波融合、小波和IHS结合的融合方法-Image fusion algorithms, high-pass filtering, IHS method, PCA principal component analysis, wavelet fusion, wavelet and IHS fusion method combining
PCA
- 主成分分析法能较好地实现图像融合，特别是空间特征保持非常好，但光谱特征的保持性要差一些。-Principal Component Analysis to achieve a better image fusion, in particular, to maintain a very good spatial characteristics, but to maintain the spectral characteristics of some worse.
ToolBox
- matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others