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kpca_azaaza
- 核主成分分析KPCA算法源码[matlab]
kpca
- kpca算法的matlab源程序,基于核的主成分分析的源程序
KPCA
- 将核思想运用到主成分分析中，使其映射到高维空间，而计算主成分的目的是将高维数据投影到较低维空间。-Kernel Principal Component Analysis
kernels
- 基于核方法的各种算法，主成分分析，fish方法等-A variety of algorithms based on kernel method, principal component analysis, fish method
KernelICA
- KICA是对独立主成分分析的核函数化，具有更好的鲁棒性。-KICA is the kernel function of the independent principal components analysis and has better robustness.
KPCA
- KPCA 核主成分分析 降维处理 与传统的PCA相比，KPCA具有主成份特征明显,贡献率集中,主成份参数维数较少等优点,其性能明显高于PCA的分析结果-Nuclear dimension principal component analysis (KPCA Compared with the traditional PCA, KPCA with principal component characteristics significantly, contribution, princip
kPCA-master
- 基于核的主成分分析是一种非线性特征提取方法,它通过一个非线性映射将数据从输入空间映射到特征空间,然后在特征空间中进行通常的主成分分析,其中的内积运算采用一个核函数来代替-Core-based principal component analysis is a nonlinear feature extraction method, which maps data the input space to the feature space through a nonlinear mapping,