Numerical optimization based algorithms for data fusion KU Leuven
© 2019 Elsevier B.V. Combining various sources of information to discover hidden patterns is key in data analysis. These sources can often be represented as matrices and/or multiway arrays, or tensors, which can be factorized jointly, e.g., as sums of simple terms, to gain insight into the data. In this chapter, an overview of (the rationale behind) numerically well-founded optimization techniques based on a Gauss–Newton framework is given, ...