Centering the data and thresholding singular values of the centered matrix consistently estimates the number of Gaussian mixture components under a separation condition on centers, even in high dimensions with growing numbers of components and severe imbalance.
Pattern R ecognition Letters 31(8), 651–666 (2010)
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Fast estimation of Gaussian mixture components via centering and singular value thresholding
Centering the data and thresholding singular values of the centered matrix consistently estimates the number of Gaussian mixture components under a separation condition on centers, even in high dimensions with growing numbers of components and severe imbalance.