perform dimensionality reduction
Reduce the number of variables or features for a dataset in machine learning algorithms through methods such as principal component analysis, matrix factorization, autoencoder methods, and others.
Also called: t-distributed stochastic neighbor embedding, data feature selection, data feature engineering, t-SNE, data feature extraction, multidimensional scaling, Kohonen self-organizing map
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1Definition from ESCO, published by the European Commission. Source concept
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