Positive Matrix Factorization (PMF) is a Statistical technique used to Decompose a matrix into the Product of two matrices with Non-negative elements, often used in Environmental Data Analysis for Source Apportionment. It is particularly useful for Identifying patterns in data where components have a Natural non-negative constraint, such as Chemical concentrations or Financial Data, and provides a more Interpretable solution compared to other Factorization methods like PCA and NMF due to its Constraints and flexibility in application.