A general semiparametric clusterwise elliptical distribution model supports consistent cluster recovery via penalized weighted least squares, asymptotically efficient estimation through alternating pseudo-MLE, optimal clustering, and consistent selection of the number of clusters via a semiparametic
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Unsupervised Learning Under a General Semiparametric Clusterwise Elliptical Distribution: Efficient Estimation, Optimal Clustering, and Consistent Cluster Selection
A general semiparametric clusterwise elliptical distribution model supports consistent cluster recovery via penalized weighted least squares, asymptotically efficient estimation through alternating pseudo-MLE, optimal clustering, and consistent selection of the number of clusters via a semiparametic