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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
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.
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 Algorithm (image processing)
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