methods
type: Collection
type: ConceptGroup
member: principal component analysis

principal component analysis
definition: Principal component analysis (PCA) is a multivariate analysis technique whose goal is to reduce the dimensionality of a large number of interrelated variables. It belongs to the class of projection methods and achieves its objective by calculating one or more linear combinations of the original set of maximum variance. [Source: Encyclopedia of Measurement and Statistics; Principal Component Analysis]
broader: statistics as topic
type: Concept

statistics as topic
type: Concept
narrower: principal component analysis