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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-staging / r-emcluster
Type Size Name Uploaded Downloads Labels
conda 796.1 kB | win-64/r-emcluster-0.2_12-r36hda5aaf8_1.tar.bz2  5 years and 4 months ago 1363 main cf202003
conda 784.8 kB | win-64/r-emcluster-0.2_12-r35hda5aaf8_1.tar.bz2  5 years and 4 months ago 1377 main cf202003
conda 791.2 kB | osx-64/r-emcluster-0.2_12-r35h159158b_1.tar.bz2  5 years and 4 months ago 339 main cf202003
conda 789.6 kB | osx-64/r-emcluster-0.2_12-r36h159158b_1.tar.bz2  5 years and 4 months ago 348 main cf202003
conda 786.8 kB | linux-64/r-emcluster-0.2_12-r35hcdcec82_1.tar.bz2  5 years and 4 months ago 3604 main cf202003
conda 792.0 kB | linux-64/r-emcluster-0.2_12-r36hcdcec82_1.tar.bz2  5 years and 4 months ago 3630 main cf202003
conda 790.2 kB | win-64/r-emcluster-0.2_12-r35hda5aaf8_0.tar.bz2  5 years and 5 months ago 1363 main cf202003
conda 785.5 kB | osx-64/r-emcluster-0.2_12-r35h159158b_0.tar.bz2  5 years and 5 months ago 346 main cf202003
conda 786.0 kB | linux-64/r-emcluster-0.2_12-r35hcdcec82_0.tar.bz2  5 years and 5 months ago 3655 main cf202003

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