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Forget iterative fitting and likelihood calculations: a simple singular value thresholding approach accurately estimates the number of GMM components, even with high dimensionality, many components, and severe class imbalance.
Overcome the limitations of Gaussian Mixture Models by modeling individual data point heterogeneity, leading to more accurate clustering in real-world scenarios.