资 源 简 介
- Principal Component Analysis ("PCA") ---主成分分析
- Linear Discriminant Analysis ("LDA") ---线性判别分析
- Multidimensional scaling ("MDS") ---多维尺度分析
- Probabilistic PCA ("ProbPCA")
- Factor analysis ("FactorAnalysis") ---因子分析
- Sammon mapping ("Sammon")
- Isomap ("Isomap") ---等距映射
- Landmark Isomap ("LandmarkIsomap")
- Locally Linear Embedding ("LLE") ---局部线性嵌入
- Laplacian Eigenmaps ("Laplacian") ---Laplacian特征映射
- Hessian LLE ("HessianLLE")
- Local Tangent Space Alignment ("LTSA") ---局部切空间排列
- Diffusion maps ("DiffusionMaps")
- Kernel PCA ("KernelPCA") ---核主成分分析
- Generalized Discriminant Analysis ("KernelLDA")
- Stochastic Neighbo
文 件 列 表
drtoolbox
._compute_mapping.m
compute_mapping.m
._Contents.m
Contents.m
._drgui.m
drgui.m
._generate_data.m
generate_data.m
gui
._intrinsic_dim.m
intrinsic_dim.m
._mexall.m
mexall.m
._out_of_sample.m
out_of_sample.m
._out_of_sample_est.m
out_of_sample_est.m
._prewhiten.m
prewhiten.m
Readme.txt
._reconstruct_data.m
reconstruct_data.m
techniques
._test_toolbox.m
test_toolbox.m
