Iterative Proportional Fitting: Data Adjustment And Matrix Balancing With Ai Algorithms
Iterative proportional fitting (IPF) is a technique for matrix balancing and data adjustment. It involves adjusting elements of a matrix to match specified marginal totals while preserving the original proportions. The Hipple matrix links IPF to matrix balancing, ensuring consistency with marginal constraints. IPF algorithms, such as RAS and Furness, iteratively adjust cell entries to…