搜索资源列表
kpca
- 核主成分分析法,用matlab实现,极为精彩.不可错过
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
EMD_matlab
- kpc核主元分析程序 kpc核主元分析程序 kpc核主元分析程序 -kpc KPCA program kpc kernel principal component analysis program kpc nuclear main element analysis program kpc nuclear main element analysis program kpc kernel principal component analysis program analysis program kp
KPCA
- 模式识别与智能计算一书中关于核主元分析的源代码-source code of KPCA in the book named Pattern Recognition and Intelligent Computing
kpc_mm
- Kpca，matlab编写代码，程序，特征提取好方法，值得一看。-Kpca, matlab code, and procedures, good feature extraction method, worth a look.
kernel-linear-principal-componenet
- this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t