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Description: 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available:
- Principal Component Analysis ( PCA )
- Linear Discriminant Analysis ( LDA )
- Multidimensional scaling ( MDS )
- Probabilistic PCA ( ProbPCA )
- Factor analysis ( FactorAnalysis )
- Sammon mapping ( Sammon )
- Isomap ( Isomap )
- Landmark Isomap ( LandmarkIsomap )
- Locally Linear Embedding ( LLE )
- Laplacian Eigenmaps ( Laplacian )
- Hessian LLE ( HessianLLE )
- Local Tangent Space Alignment ( LTSA )
- Diffusion maps ( DiffusionMaps )
- Kernel PCA ( KernelPCA )
- Generalized Discriminant Analysis ( KernelLDA )
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Size: 1108992 |
Author: yang |
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Description: 基于核的主分量分析方法的提出者亲自写的程序（基于MATLAB-a MATLAB m-file of Kernel PCA
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Size: 1024 |
Author: Steven |
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Description: KernalPCA. used for visualization
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Size: 1024 |
Author: tstrong |
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Description: kernel PCA MATLAB code
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Size: 2048 |
Author: plugo |
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Description: 一个关于核pca的程序源代码，可用于人脸识别，里面包含orl32和yale32数据文件。-A nuclear pca program source code, can be used for face recognition, which contains orl32, and yale32 data file.
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Size: 556032 |
Author: 刘佳 |
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Description: 核主成分分析子函数sample,可用于故障检测中-KPCA sample
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Size: 1024 |
Author: vicky |
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Description: KPCA可以用作数据压缩与提取。是一个很好的函数，可直接调用-KPCACan be used for data compression and extraction. Is a good function, can be called directly
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Size: 1024 |
Author: 魏琳 |
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Description: 在信号处理技术中，使用PCA非线性降维。(Non-linear dimension reduction using kernel PCA.)
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Size: 7043072 |
Author: SONAH~
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