搜索资源列表
kpca1
- 关于kpca算法的matlab程序及其说明-kpca algorithm on the procedures and instructions Matlab
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
- 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
deaegy-77
- 本程序为KPCA对于过程监控的算法，也是自己做的-The procedure for the KPCA algorithm for process monitoring, but also do their own ~ ~
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
DV_HO111P
- 地位算法，有很重要的作用，还用到kpca和pca的部分知识，很有用，希望您采纳-Status algorithm, a very important role, still use kpca and pca some knowledge, is very useful, and hope you adopted
KPCA
- KPCA是一种基于核的主要成分分析，是一种由线性到非线性之间的桥梁。通过非线性函数把输入空间映射到高维空间，在特征空间中间型数据处理，引入核函数，把非线性变换后的特征空间内积运算转换为原始空间的核函数计算。 基本思想是通过某种隐士方法将输入空间映射到某个高维空间（特征空间），并在特征空间实现PCA。对该算法进行了详细的说明-KPCA is a kernel-based principal components analysis, is a bridge between the linear
PatternRecognition
- (1)Bayes分类 已知N=9， =3，n=2，C=3,问x= 应属于哪一类？ (2)聚类 使用c－均值聚类算法在IRIS数据上进行聚类分析 (3)鉴别分析 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。-(1) Bayes classification Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
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-ELM
- 基于Stprtool 工具箱进行KPCA降维，然后运行ELMS算法。-Stprtool calculation based on KPCA and then ELM algorithm prediction.
AKPCA
- 南京大学数据挖掘研究所提出的主动学习算法，对于改进KPCA有着重要的借鉴作用。-The active learning algorithm proposed data mining research institute of nanjing university, has an important reference for improving the KPCA.
kpca
- 在matlab上面通过kpca，实现大数据降维算法(Dimensionality reduction algorithm for large data)
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)
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