Online Detection of Sparse Changes in High-Dimensional Data Streams Using Tailored Projections

Martin Tveten, Ingrid K. Glad

When applying principal component analysis (PCA) for dimension reduction, the most varying projections are usually used in order to retain most of the information. For the purpose…