Implementing Manifold Learning and Reduction techniques #338
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New Features to add
KernelPCABlockimplementing the kernel PCApaper linkMultiDimensionalScalingBlockimplementing MDSpaper linkIsomapBlockimplementing Isomappaper linkSpectralClusteringBlockimplementing SCpaper linkLocalLinearEmbeddingBlockimplementing LLEpaper linkDiffusionMapBlockimplementing DMpaper linkHow
Kernel-PCA (kPCA) is the base class, all the others can be implemented as particular cases of kPCA with ad-hoc kernel functions