HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise

David Hong, Kyle Gilman, Laura Balzano +1

Principal component analysis (PCA) is a classical and ubiquitous method for reducing data dimensionality, but it is suboptimal for heterogeneous data that are increasingly common i…