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A mixture model-based approach to the clustering of microarray expression data.

, , and . Bioinform., 18 (3): 413-422 (2002)

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Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data., , and . DICTA, page 526-531. IEEE Computer Society, (2009)A note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification.. Pattern Recognit., 9 (3): 147-149 (1977)Top 10 algorithms in data mining, , , , , , , , , and 4 other author(s). Knowledge and Information Systems, 14 (1): 1--37 (2008)A Universal Approximation Theorem for Mixture-of-Experts Models., , and . Neural Comput., 28 (12): 2585-2593 (2016)Penalized Principal Component Analysis of Microarray Data., and . CIBB, volume 6160 of Lecture Notes in Computer Science, page 82-96. Springer, (2009)Identifying fiber bundles with regularised к-means clustering applied to the grid-based data., and . IJCNN, page 1-8. IEEE, (2010)Mining in the Presence of Selectivity Bias and its Application to Reject Inference., , and . KDD, page 199-203. AAAI Press, (1998)Corruption-Resistant Privacy Preserving Distributed EM Algorithm for Model-Based Clustering., , and . TrustCom/BigDataSE/ICESS, page 1082-1089. IEEE Computer Society, (2017)Assessing the Significance of Groups in High-Dimensional Data.. ICDM, page 6. IEEE Computer Society, (2010)Ensemble Approach for the Classification of Imbalanced Data., , and . Australasian Conference on Artificial Intelligence, volume 5866 of Lecture Notes in Computer Science, page 291-300. Springer, (2009)