Data Reduction

2 Posts
1 Sections
1 Types

August 31, 2024 5 min read Definitions

Principal Components Analysis: A Statistical Technique for Data Reduction

Mathematics Statistics PCA Data Reduction Multivariable Analysis Dimensionality Reduction Statistical Techniques

Principal Components Analysis (PCA) is a linear transformation technique that converts a set of correlated variables into a set of uncorrelated variables called principal components. Each succeeding component accounts for as much of the remaining variability in the data as possible.

August 25, 2024 3 min read Definitions

Factor Analysis: Reducing Data Complexity

Mathematics Statistics Data Reduction Multivariate Statistics Dimensionality Reduction Interrelated Variables Factor Extraction

Factor Analysis is a mathematical procedure used to reduce a large amount of data into a simpler structure that can be more easily studied by summarizing information contained in numerous variables into a smaller number of interrelated factors.