"""Compute the Cholesky factorization of a symmetric positive definite matrix ``A`` in blocks. It returns a lower-triangular matrix ``L`` such that ``A = L L^T``. ``A`` is assumed to support block ...

This project is a part of my research on mobility pattern analysis and was converted from my MATLAB code to Python. This project demonstrates the ability of Non-negative Matrix Factorization (NMF) to ...

There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed ...

Abstract: Matrix factorization is a fundamental characterization model in machine learning and is usually solved using mathematical decomposition reconstruction loss. However, matrix factorization is ...

Abstract: Multi-view clustering methods based on deep matrix factorization play a vital role in data analysis within the healthcare sector. However, existing methods predominantly conduct deep matrix ...