搜索资源列表
kpca.rar
- KPCA的程序,比较好用,有详细的注释,希望对大家有用!,KPCA procedure, compared to-use, with detailed notes, useful for all of us hope!
kpca.rar
- 一个利用KPCA进行故障诊断的程序，用起来很简单，里面有详细的标注,A use of KPCA for fault diagnosis procedure is very simple to use, which has detailed tagging
pca-kpca.zip
- 此为pca ,kpca的源代码，智能技术课上用的,This is a pca, kpca source code
KPCA.zip
- kPCA程序 一个关于kernel pca的实现代码,kpca
kpca
- kpca的vc++程序，欢迎大家下载相互交流学习-kpca of vc++ program, welcome you to download another exchange study
kpca
- KPCA降维算法的实现函数，matlab的函数-KPCA dimensionality reduction algorithm to achieve the function, matlab function
kpca
- KPCA是一种非线性的盲源分离方法，很好用，推荐大家下载！-KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!
kpca
- kpca的matlab程序，有比较详细的注释，欢迎大家下载-kpca the matlab program, there are more detailed comments, welcome to download
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
KPCA
- matlab 源码 KPCA/核PCA 可用于人脸识别-matlab source KPCA/nuclear PCA for Face Recognition
kpca
- 运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
KPCA
- 关于KPCA的详细算法说明 并附有相关例子-Detailed descr iption of KPCA algorithm on together with relevant examples
KPCA
- KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用.-KPCA major noise in the image to have the application. You can also feature extraction using dimension reduction.
KPCA-LEG
- 从理论上证明了KGE框架内的各种核算法其实质是KPCA+LGE框架内的线性降维算法，并且基于所给出的理论框架提出了一种综合利用零空间和非零空间 鉴别信息的组合方法．-Theoretically proved that the KGE various accounting method within the framework of its essence is the KPCA+ LGE within the framework of linear dimensionality reduc
kpca
- KPCA的matlab代码，经过验证，可以用的代码-matlab code for KPCA,it can be used
KPCA故障检测程序（代码已优化）
- 基于核主元分析（KPCA）的工业过程故障检测，代码已优化，运行效率高，有详细的注释，附有训练数据和测试数据。(Achieves fault detection of industrial processes based on Kernel Principal Component Analysis (KPCA); the code has been optimized for high operational efficiency; detailed notes are attached with
KPCA实现
- 有一个讲解kpca的个PPT，和一个用MATLAB实现的kpca的程序(There is a PPT explaining KPCA and a KPCA program implemented by MATLAB.)
KPCA故障检测
- 基于KPCA的故障诊断matlab代码。包括t^2统计量和q统计量(Fault Diagnosis Matlab Code Based on KPCA)
KPCA
- KPCA算法属于非线性高维数据集降维，算法其实很简单，数据在低维度空间不是线性可分的，但是在高维度空间就可以变成线性可分的了(The KPCA algorithm belongs to the nonlinear high-dimensional data set dimension reduction. The algorithm is very simple. The data is not linearly separable in the low-dimensional space, b
核函数主成分分析KPCA
- 在多元统计领域中，核函数主成分分析(kernel principal component analysis, kernel PCA)是利用核函数方法技术对主成分分析(PCA)的扩展。使用核函数使原PCA的线性操作是在一个复制的内核希尔伯特空间中执行的。 KPCA的运算步骤势在PCA之前首先对数据进行kernel变换 ，再求相关系数矩阵。(In the field of multivariate statistics, kernel principal component analysis (ke