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KPCA
- KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用
KPCA.rar
- 一个很好的PCA程序。它可用于数据的降维，消噪及特征提取。,A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction.
pcakpca
- 图像降维方法pca和kpca的matlab程序-Image dimensional reduction pca and kpca the matlab program
kpcacsdn
- kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca-kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca
kpca_toy
- kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca-kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca
dimen_toolbox
- 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
kpca-ecg
- 对心电信号QRS波的数据降维，已经把QRS波截取出来-QRS wave of ECG data dimensionality reduction
KPCA
- 核主成分分析KPCA算法，经过核变换将样本映射到线性可分的高维空间，再进行PCA降维。包括训练、测试、识别整个过程-KPCA kernel principal component analysis algorithm through nuclear transformation samples are mapped to linearly separable high-dimensional space, then PCA dimensionality reduction. Including
kPCA
- 实现kPCA算法，用于数据降维图像处理等多领域。本程序包可选用多种核函数，且可以直接增添新的数据点，方便快捷。(KPCA algorithm, for data reduction, image processing and many other fields. This package can use a variety of kernel functions, and can directly add new data points, convenient and quick.)