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On Clustering: Mixture Model Averaging with the Generalized Hyperbolic Distribution

2017
Cluster analysis is commonly described as the classification of unlabeled observations into groups such that they are more similar to one another than to observations in other groups. Model-based clustering assumes that the data arise from a statistical (mixture) model and typically a group of many models are fit to the data, from which the `best ...
openaire   +1 more source

Generalized parton distributions

Physics Reports, 2003
Markus Diehl
exaly  

Subspace clustering for the finite mixture of generalized hyperbolic distributions

Advances in Data Analysis and Classification, 2018
Nam-Hwui Kim, Ryan P Browne
exaly  

Generation of the grid nodes distribution using modified hyperbolic equations

40th AIAA Aerospace Sciences Meeting & Exhibit, 2002
R. Kameel, E. Khalil
openaire   +1 more source

The Simulation of Generalized Inverse Gaussian and Hyperbolic Random Variables

SIAM Journal on Scientific and Statistical Computing, 1982
exaly  

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