Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates
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Updated
Jul 11, 2024 - Python
Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates
Flexible Bayesian clustering framework with MCMC inference. Supports multiple nonparametric priors (DP, NGGP), distance-based models, and state-of-the-art samplers including Split-Merge algorithms. Built in C++ for efficient computations.
Dividir y unir PDF (split & merge) en PowerBuilder con iText7 .NET 10.
Librería .NET 10 (C#, iText7) para dividir y unir PDF; consumible desde PowerBuilder.
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