Dimension reduction

conversion of a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components

thumb|upright=1.15|A schema of an autoencoder. An autoencoder has two main parts: an encoder that maps the message to a code, and a decoder that reconstructs the message from the code.

machine learning technique useful for dimensionality reduction

process of reducing the number of random variables under consideration

in signal processing, a computational method

procedure in machine learning and statistics

deep learning generative model to encode data representation

multivariate statistical technique

set of related ordination techniques used in information visualization

technique for dimensionality reduction

method of dimension reduction in which closer items have greater probability of being mapped to the same hash bucket

summary of algorithms for nonlinear dimensionality reduction