搜索资源列表
KPCA
- 核主成分分析，MATLAB编写，可用于人脸识别等模式识别问题，欢迎使用。
对高维数据采用PCA进行降维处理
- 对高维数据采用PCA进行降维处理，主成分个数采用累积方差贡献率的方法确定
PCA
- 基于PCA（主成分分析）的过程监控程序，可运行
OPENCV写的一个小程序
- OPENCV写的一个小程序 包括将彩色图片转成灰度图以及做阈值分割和主成分分析的功能-OPENCV write a small program, including a color picture converted to grayscale and make thresholding and principal component analysis of functional
PCAnn.rar
- matlab实现主成分分析PAC神经网络的程序,matlab achieve the principal component analysis neural network procedures PAC
EOFs.rar
- 经验正交函数，EOF程序，主成分分析程序，适合做向量场的正交分解。,EOF, EOF procedures, principal component analysis procedure, suitable for vector field orthogonal decomposition.
Pls_tool-tem.rar
- pls算法工具箱。偏最小二乘回归≈多元线性回归分析＋典型相关分析＋主成分分析 ,pls algorithm toolbox. Partial least-squares regression ≈ multiple linear regression analysis, canonical correlation analysis++ Principal component analysis
PCA_KNN.rar
- 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.
gpuKPCA
- 图像主成分分析的IDL程序，主要功能是实现KL变换-IDL image principal component analysis procedure, the main function is to achieve KL transform
pcafsvm.rar
- 用于人脸识别的主成分分析和模糊支持向量机程序，通过测试，能完成工作,Face Recognition for the principal component analysis and fuzzy support vector machine procedures, to pass the test to complete the work
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
- 核主成分分析算法KPCA 的matlab程序/代码 基于二维数据的。-kernel principal component analysis
pca
- 主成分分析 还不错的程序 有需要的可以-pca for zhe value
optic
- 本程序为偏最小二乘法和主成分分析的matlab程序用于建立光谱信息和所测样品浓度的关系，建立预测模型-This program is partial least squares and principal component analysis matlab program for the establishment of spectral information and the relationship between the concentration of the samples, the
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!
ex4
- 建立主成分分析和因子分析界面，对给定的随机数据进行主成分分析和因子分析-Establishment of principal component analysis and factor analysis interface for a given random data principal component analysis and factor analysis
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
- PCA,主成分分析，可应用于矩阵降维，人脸特征提取及人脸识别。-PCA, principal component analysis, can be applied to matrix reduction, facial feature extraction and face recognition.