Tag: Principal Component Analysis

January 12, 2026 / Mohammed looti

SCREE PLOT

SCREE PLOT: Introduction and Definition The Scree plot stands as a fundamental graphical tool in multivariate statistics, specifically designed for applications involving dimensionality reduction techniques such as Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA). Fundamentally, it serves as a visual representation of the variance explained by each successive component or factor extracted from […]

December 4, 2025 / Mohammed looti

PRINCIPAL COMPONENT ANALYSIS

Definition and Fundamental Purpose Principal Component Analysis (PCA) stands as one of the most widely utilized and foundational statistical techniques in the field of multivariate data analysis. At its core, PCA is a robust method designed to reduce the dimensionality of complex, high-dimensional datasets while ensuring that the maximum amount of original information—specifically variance—is retained. […]