Dimension reduction techniques
Kernel Locally Linear Embedding
Neighborhood Preserving Embedding
Local Tangent Space Alignment
Linear Local Tangent Space Alignment
Laplacian Eigenmaps
Locality Preserving Projections
Diffusion Map
Isomap
Landmark Isomap
Multidimensional Scaling
Landmark Multidimensional Scaling
Stochastic Proximity Embedding
Kernel PCA
PCA
Random Projection
Factor Analysis
t-SNE
Barnes-Hut-SNE
Usage examples
Minimal C++ example
RNA C++ example
Precomputed distance C++ example
Graphical examples
Promoters embedding
Words embedding
MIT-CBCL faces embedding
MNIST digits embedding
Faces embedding
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Tapkee
an efficient dimension reduction library
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Kernel Locally Linear Embedding
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Neighborhood Preserving Embedding
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Local Tangent Space Alignment
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Linear Local Tangent Space Alignment
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Laplacian Eigenmaps
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Locality Preserving Projections
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Diffusion Map
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Isomap
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Landmark Isomap
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Multidimensional Scaling
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Landmark Multidimensional Scaling
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Stochastic Proximity Embedding
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Kernel PCA
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PCA
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Random Projection
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Factor Analysis
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t-SNE
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Barnes-Hut-SNE
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Promoters embedding
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Words embedding
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MIT-CBCL faces embedding
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MNIST digits embedding
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Faces embedding
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Minimal C++ example
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RNA C++ example
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Precomputed distance C++ example