deepgmm

cranv0.2.1

Deep Gaussian Mixture Models. Deep Gaussian mixture models as proposed by Viroli and McLachlan (2019) <doi:10.1007/s11222-017-9793-z> provide a generalization of classical Gaussian mixtures to multiple layers. Each layer contains a set of latent variables that follow a mixture of Gaussian distributions. To avoid overparameterize

License GPL (>= 3)0 versions1 maintainers3 deps86 weekly dl
suren-rathnayake/deepgmm
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First published · 2022-11-20 22:50:25

Last updated · 2022-11-20T20:30:02+00:00