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Found 2 papers, 1 papers with code
Latent Channel Networks
Latent Euclidean embedding models a given network by representing each node in a Euclidean space, where the probability of two nodes sharing an edge is a function of the distances between the nodes.
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables
If some marginals are continuous but not normal, the semiparametric copula-based principal component analysis (COCA) method is an alternative to PCA that combines a Gaussian copula with nonparametric marginals.
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