bn:03636591n
Noun Concept
Categories: Matrix decompositions, Dimension reduction, Articles with short description
EN
principal component analysis  characteristic vector analysis  conditional principal components analysis  Eigenimage  Eigenvector analysis
EN
Principal component analysis is a popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data while preserving the maximum amount of information, and enabling the visualization of multidimensional data. Wikipedia
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EN
Principal component analysis is a popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data while preserving the maximum amount of information, and enabling the visualization of multidimensional data. Wikipedia
A technique that converts a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables, called principal components Wikipedia Disambiguation
Conversion of a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components Wikidata