Questions tagged [pca]

Principal component analysis, also known as PCA, is a commonly used statistical method for reducing dimensions in data analysis. By determining the variables that contribute the most to the variation in the data, PCA helps identify key factors in clustering and factor analysis. This technique ranks explanatory variables based on their ability to explain the largest amount of variance, making it useful for isolating the most significant variables from a large pool of potential influencers.