Finite Mixture Models GJ McLachlan, D Peel John Wiley & Sons, New York, 2000 | 14477* | 2000 |
The EM Algorithm and Extensions, Second Edition GJ McLachlan, T Krishnan John Wiley & Sons, New York, 2008 | 9708* | 2008 |
Top 10 algorithms in data mining X Wu, V Kumar, J Ross Quinlan, J Ghosh, Q Yang, H Motoda, ... Knowledge and information systems 14, 1-37, 2008 | 6820 | 2008 |
Discriminant analysis and statistical pattern recognition GJ McLachlan John Wiley & Sons, 2005 | 5055 | 2005 |
Mixture models. Inference and applications to clustering GJ McLachlan, KE Basford Marcel Dekker, 1988 | 4451 | 1988 |
Mixture Models., 1988 GJ McLachlan, KE Basford Marcel Dekker, New York, 1965 | 4422* | 1965 |
Selection bias in gene extraction on the basis of microarray gene-expression data C Ambroise, GJ McLachlan Proceedings of the national academy of sciences 99 (10), 6562-6566, 2002 | 1673 | 2002 |
Robust mixture modelling using the t distribution D Peel, GJ McLachlan Statistics and computing 10, 339-348, 2000 | 1063 | 2000 |
On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture GJ McLachlan Journal of the Royal Statistical Society: Series C (Applied Statistics) 36 …, 1987 | 954 | 1987 |
Analyzing microarray gene expression data GJ McLachlan, KA Do, C Ambroise Wiley, 2004 | 906 | 2004 |
A mixture model-based approach to the clustering of microarray expression data GJ McLachlan, RW Bean, D Peel Bioinformatics 18 (3), 413-422, 2002 | 722 | 2002 |
Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, TF Consortium, TD Consortium, H Hoos, ... Nature Methods 10, 228-238, 2013 | 611 | 2013 |
Automated high-dimensional flow cytometric data analysis S Pyne, X Hu, K Wang, E Rossin, TI Lin, LM Maier, C Baecher-Allan, ... Proceedings of the National Academy of Sciences 106 (21), 8519-8524, 2009 | 479 | 2009 |
Mahalanobis distance GJ McLachlan Resonance 4 (6), 20-26, 1999 | 454 | 1999 |
Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages K Schroder, KM Irvine, MS Taylor, NJ Bokil, KA Le Cao, KA Masterman, ... Proceedings of the National Academy of Sciences 109 (16), E944-E953, 2012 | 309 | 2012 |
Modelling high-dimensional data by mixtures of factor analyzers GJ McLachlan, D Peel, RW Bean Computational Statistics & Data Analysis 41 (3-4), 379-388, 2003 | 290 | 2003 |
Mixtures of factor analyzers GJ McLachlan, D Peel Proceedings of the seventeenth international conference on machine learning …, 2000 | 280 | 2000 |
Multi-level zero-inflated Poisson regression modelling of correlated count data with excess zeros AH Lee, K Wang, JA Scott, KKW Yau, GJ McLachlan Statistical methods in medical research 15 (1), 47-61, 2006 | 259 | 2006 |
The EMMIX software for the fitting of mixtures of normal and t-components GJ McLachlan, D Peel, KE Basford, P Adams Journal of Statistical Software 4 (2), 1999 | 253 | 1999 |
Finite mixtures of multivariate skew t-distributions: some recent and new results S Lee, GJ McLachlan Statistics and Computing 24, 181-202, 2014 | 233 | 2014 |