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Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data

14 February 2017

Papers citing "Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data"

3 / 3 papers shown

Title
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia Erell Gachon Jérémie Bigot Elsa Cazelles A. Mimoun Jean-Philippe Vial Pierre-Yves Dumas Aguirre Mimoun 62 2 0 24 Jul 2024
Multi-Node EM Algorithm for Finite Mixture Models Sharon X. Lee Geoffrey J. McLachlan Kaleb L. Leemaqz MoE 16 2 0 14 May 2020
A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions Yuan Fang D. Karlis Sanjeena Subedi 18 2 0 06 May 2020