This study presents PRISM, a probabilistic simplex component analysis approach to identifying the vertices of data-circumscribing from data. The problem has rich variety applications, most notable being hyperspectral unmixing in remote sensing and non-negative matrix factorization machine learning. PRISM uses simple model, namely, uniform data distribution additive Gaussian noise, it carries ou...