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Algorithms for Model-Based Gaussian Hierarchical Clustering.

. SIAM J. Sci. Comput., 20 (1): 270-281 (1998)

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Chris Protzel

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Chris Paschold

 

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Alternative Approaches to Feasibility in Projective Methods for Linear Programming., и . INFORMS J. Comput., 4 (3): 285-299 (1992)Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering, и . Technical Report, 486. Department of Statistics, (2005)Model-Based Clustering for Image Segmentation and Large Datasets via Sampling., , , и . J. Classification, 21 (2): 231-253 (2004)MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, и . Technical Report, 504. University of Washington, Department of Statistics, (2006)How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis., и . Comput. J., 41 (8): 578-588 (1998)Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST., и . J. Classification, 20 (2): 263-286 (2003)Donuts, scratches and blanks: robust model-based segmentation of microarray images., , , , и . Bioinform., 21 (12): 2875-2882 (2005)Model-Based Clustering, Discriminant Analysis, and Density Estimation., и . Journal of the American Statistical Association, 97 (458): 611--632 (2002)Algorithms for Model-Based Gaussian Hierarchical Clustering.. SIAM J. Sci. Comput., 20 (1): 270-281 (1998)Least Angle Regression and LASSO for Large Datasets., и . Stat. Anal. Data Min., 1 (4): 251-259 (2009)