搜索资源列表
KPCA(classicc)
- 这是目前最经典的matlab实现的kpca代码,代码量已经很精简,但相信还有高手能做出最简化的代码
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
- kpca算法的matlab源程序,基于核的主成分分析的源程序
kpca
- KPCA是一种PCA的改进方法,很值得一看,很实用!
kpca
- kpca是一种非线性的识别工具,很有实用价值
KStattoolbox KPCA工具箱
- 这是一个kpca的工具箱,用于kpca的使用
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.
kpca
- 核主成分分析算法KPCA 的matlab程序/代码 基于二维数据的。-kernel principal component analysis
kpca_azaaza
- kpca 基于核主成分分析的源程序,有注释,希望对大家有帮助!-kpca based on kernel principal component analysis, source code, there are comments, want to help you!
kpca081223
- 非线性降维方法KPCA 可以应用于高维数据的机器学习-KPCA nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
drtoolbox
- 降维工具箱,包含主元分析(PCA),核主元分析(KPCA)等。-Dimensionality reduction kit, including principal component analysis (PCA), Kernel Principal Component Analysis (KPCA) and so on.
kpca
- 使用核PcA来识别图片,图片为200张测试图片,200张训练图片,包含在在压缩文件中。-To identify the use of nuclear PcA picture, pictures, for 200 test images, 200 training images, is included in the compressed file.
KPCA
- kernel PCA
KPCAimplementation
- kpca实现,目前kpca最为简介的程序,算法实现简单-kpca implementation, the current most kpca brief introduction of the procedure, the algorithm implementation easy
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
kpca
- 主成分分析,人脸识别,模式识别,对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help
kpca
- 这是一段简单的基于主元分析法的特征提取的程序-This is a simple method based on principal component analysis of the feature extraction procedure
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.
KPCA
- Kernel Principal Component Analysis
KPCA_feature_extraction
- 别人的东西,有关KPCA特征提取的,看过了,很好很强大-Other people' s things, the KPCA feature extraction, and seen, very good very strong