An iterative algorithm (CBMM-GICE) automatically selects marginal and copula distribution forms in mixture models and improves clustering over Gaussian mixture models on MNIST and cardiac MRI data.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Copula-based mixture model identification for subgroup clustering with imaging applications
An iterative algorithm (CBMM-GICE) automatically selects marginal and copula distribution forms in mixture models and improves clustering over Gaussian mixture models on MNIST and cardiac MRI data.