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mark-meets-gauss ================ the functions included in this package provides methods for both fitting vanilla gaussian mixture models (via the expectation maximization algorithm, see dempster 1977) and mixture models with transition probabilities between derived clusters. the gmmarkov function also provides a self-supervised clustering algorithm which determines the number of clusters via the akaike information criterion. usage ----- each of the functions have detailed internal descriptions of their operation.
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