Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...

QR FACTORIZATION (GRAM-SCHMIDT ORTHONORMALIZATION PROCESS) is a project under DR. Dinesh Singh. This project was covered under programming practicum course(CS571). In linear algebra, QR decomposition, ...

We present a general method for including prior knowledge in a nonnegative matrix factorization (NMF), based on Gaussian process priors. We assume that the nonnegative factors in the NMF are linked by ...

Prime factorization is the process of expressing an integer as the product of prime numbers only. For example, 140 would be expressed as 2x2x5x7. For each integer, there is only one correct ...

Abstract: In this study, a novel process monitoring method using image data is presented. The new method is referred to as projective nonnegative-tensor factorization (PNTF). Video monitoring systems ...

Abstract: The factorization procedure to solve two‐part boundary value problems is based on exploiting the behavior of certain functions in overlapping analytic domains of an appropriate complex plane ...

This is the Python Jupyter Notebook for the Medium article on the from scratch implementation of the Non-Negative Matrix Factorization (NNMF) algorithm in Python. It illustrates the basic ...