搜索资源列表
KPCAandPCA
- 含有pca和kpca算法，具有很好的在图像处理方面的应用-contain pca and kpca algorithm, is very good in image processing the application
kpca1
- 关于kpca算法的matlab程序及其说明-kpca algorithm on the procedures and instructions Matlab
KPCA.rar
- 快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少,Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many
kpca.rar
- kpca 用于人脸识别等的matlab源码,KPCA for face recognition matlab source, etc.
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
- 一种加核的PCA算法，比PCA算法识别率高很多，所加的核可以用于其他算法。-An increase in the PCA algorithm for nuclear than the PCA algorithm is much higher recognition rate, the increase of other algorithms can be used for nuclear.
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.
KPCA
- 用于人脸识别特征提取的KPCA算法，很好的程序，有问题大家交流-KPCA for face recognition feature extraction algorithm, a very good program, there are problems we share
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-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
- 图像识别中的降维算法，KPCA算法，主要使用了线性代数和矩阵的知识。-Image recognition of the descending dimension algorithm, KPCA algorithm, the main use of the knowledge of linear algebra and matrix
KPCA-demo2
- 这是一个比较完整的KPCA算法，通过这个算法可以快速的找到主要的特征向量进行主成分分析。-This is a relatively complete KPCA algorithm, this algorithm can quickly find the main feature vector principal component analysis.
kpca
- KPCA算法实现,采用传统方法实现，KPCA是根据非线性映射到高维空间-KPCA algorithm, using traditional methods to achieve, KPCA algorithm, using traditional methods to achieve,
KPCA.m
- 函数形式kpca算法，可以直接使用，内含详细说明-Functional form kpca algorithm can be used directly, containing detailed instructions
KPCA
- KPCA Algorithm (image processing)
KPCA
- 人脸识别的kpca算法，在pca算法的基础上进行了改进，主要是针对yale数据库，可以在其他数据库上使用-The kpca algorithm about face recogniton,it make an improvement with the pca algorithm,the base of the experiment is yale,but can be used on other face
kPCA
- 实现kPCA算法，用于数据降维图像处理等多领域。本程序包可选用多种核函数，且可以直接增添新的数据点，方便快捷。(KPCA algorithm, for data reduction, image processing and many other fields. This package can use a variety of kernel functions, and can directly add new data points, convenient and quick.)
kpca
- 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。(An improved algorithm of principal component analysis is a nonlinear feature extraction method)
PCA,KPCA完整程序
- 降维，用作聚类算法使用。具有很好效果，可以用作图像去噪(Dimensionality reduction is used as a clustering algorithm. It has good effect and can be used for image denoising.)
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