Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Finite mixture models represent complex data by combining several simple probability distributions, each weighted by a mixing proportion. This framework captures heterogeneity in populations or ...

Jörg Kienitz proposes a method for generating synthetic market data under the real-world measure P based on Gaussian mixture models (convex combinations of Gaussians). Once numerically fitted, the ...