The principal component
Exemple : Principal component reduces data dimensions while preserving variance
Definition
"The principal component" is the main underlying factor or direction in a dataset that explains the most variance. In data analysis, it is used to reduce dimensionality by transforming original variables into new, uncorrelated variables that capture key patterns.
Étymologie
The term "the principal component" comes from statistics and linear algebra, where 'principal' means 'most important' or 'main,' and 'component' refers to a part of a whole. It was popularized in the context of principal component analysis (PCA), a technique developed in the early 20th century by Karl Pearson to simplify complex data.
Apprenez à utiliser ce mot dans la pratique
"The principal component" figure dans la liste Vocaplus "Anglais - Données et IA - (A1-C2) - partie 1", qui contient 110 mots fréquemment utilisés.
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