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kpca1
- 关于kpca算法的matlab程序及其说明-kpca algorithm on the procedures and instructions Matlab
kpca1
- kpca核主成分分析用于故障诊断与辨识中，具有很强的应用价值-kpca kernel principal component analysis for fault diagnosis and identification, has a strong value
gradient_descent_opt
- --- --- --- --- ---Kernel PCA --- --- --- --- - kpca1 | Simple Example of Kernel PCA on a artificial datasets | kpca2 | Example of KPCA. this is a B.Scholkopf modified routine | kpca3 | Example of Multilayer SVM with a KPCA as a fir
kpca1
- KPCA 的基本思想是将数据从输入空间映射到高维特征空间,然后在特征空间利用线性主成分分析方法计算主成分。本程序是KPCA的源程序，可实现调用。对于初学者或许有帮助。-The basic idea of KPCA is to map the data from the input space to high dimensional feature space, then in the feature space using principal component analysis method
KPCA1
- 改程序为基于核函数的主成分分析算法的MATLAB实现程序,对于学习KPCA有很大帮助-This program is the MATLAB program which is based on the kernel principal component analysis
kpca1
- 在核空间中进行pca，简称kpca的源码-kernel principle component analysis
KPCA1
- 通过非线性映射将原始空间的向量映射到高维空间，进而提取特征的方法 核主成分分析法-Kernel Principal Component Analysis
kpca1
- 作为多元数据的降维处理方法，有效减小数据的运算量。(As a dimension reduction method for multivariate data, the computation of data is effectively reduced.)
kpca1故障辨识
- 冶金工业过程中，选矿自动化过程中， 故障诊断、故障辨识。(Fault diagnosis and fault identification.)