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EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.

copied from cf-post-staging / r-emcluster
Type Size Name Uploaded Downloads Labels
conda 858.9 kB | win-64/r-emcluster-0.2_13-r41h6d2157b_0.tar.bz2  5 years and 14 days ago 825 main
conda 872.9 kB | osx-64/r-emcluster-0.2_13-r41h28b5c78_0.tar.bz2  5 years and 14 days ago 163 main
conda 873.5 kB | linux-64/r-emcluster-0.2_13-r41hcfec24a_0.tar.bz2  5 years and 14 days ago 3338 main
conda 870.3 kB | osx-64/r-emcluster-0.2_13-r36h28b5c78_0.tar.bz2  5 years and 2 months ago 234 main
conda 858.3 kB | win-64/r-emcluster-0.2_13-r40h6d2157b_0.tar.bz2  5 years and 2 months ago 914 main
conda 867.2 kB | win-64/r-emcluster-0.2_13-r36h6d2157b_0.tar.bz2  5 years and 2 months ago 922 main
conda 875.3 kB | osx-64/r-emcluster-0.2_13-r40h28b5c78_0.tar.bz2  5 years and 2 months ago 230 main
conda 874.4 kB | linux-64/r-emcluster-0.2_13-r36hcfec24a_0.tar.bz2  5 years and 2 months ago 3515 main
conda 872.0 kB | linux-64/r-emcluster-0.2_13-r40hcfec24a_0.tar.bz2  5 years and 2 months ago 3512 main

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