![]() ![]() Gaussian Process Latent Variable Model (GPLVM).Deep autoencoders (using denoising autoencoder pretraining).Linear Local Tangent Space Alignment (LLTSA).Neighborhood Preserving Embedding (NPE).Generalized Discriminant Analysis (GDA).Fast Maximum Variance Unfolding (FastMVU).Maximum Variance Unfolding (extension of LLE). ![]() Classical multidimensional scaling (MDS).The toolbox is available for download here.Ĭurrently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: The implementations in the toolbox are conservative in their use of memory. A large number of implementations was developed from scratch, whereas other implementations are improved versions of software that was already available on the Web. The Matlab Toolbox for Dimensionality Reduction contains Matlab implementations of 34 techniques for dimensionality reduction and metric learning. ![]()
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