An explicit three-component bivariate Gaussian mixture has at least seven distinct local maxima, refuting the predicted upper bound of six.
Singular learning theory: connecting algebraic geometry and model selection in statistics
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At least seven modes in a heteroscedastic three-component bivariate Gaussian mixture
An explicit three-component bivariate Gaussian mixture has at least seven distinct local maxima, refuting the predicted upper bound of six.