dpGMM - Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D
and 2D Data
Gaussian mixture modeling of one- and two-dimensional
data, provided in original or binned form, with an option to
estimate the number of model components. The method uses
Gaussian Mixture Models (GMM) with initial parameters
determined by a dynamic programming algorithm, leading to
stable and reproducible model fitting. For more details see
Zyla, J., Szumala, K., Polanski, A., Polanska, J., & Marczyk,
M. (2026) <doi:10.1016/j.jocs.2026.102811>.
