| Finite Mixture Models GJ McLachlan, D Peel John Wiley & Sons, New York, 2000 | 15562 | 2000 |
| The EM Algorithm and Extensions, Second Edition GJ McLachlan, T Krishnan John Wiley & Sons, New York, 2008 | 10220* | 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 | 7718 | 2008 |
| Discriminant analysis and statistical pattern recognition GJ McLachlan John Wiley & Sons, 2005 | 5310 | 2005 |
| Mixture models. Inference and applications to clustering GJ McLachlan, KE Basford Marcel Dekker, 1988 | 4650 | 1988 |
| Mixture Models., 1988 GJ McLachlan, KE Basford Marcel Dekker, New York, 1965 | 4622* | 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 | 1727 | 2002 |
| Robust mixture modelling using the t distribution D Peel, GJ McLachlan Statistics and computing 10, 339-348, 2000 | 1155 | 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 | 1012 | 1987 |
| Analyzing microarray gene expression data GJ McLachlan, KA Do, C Ambroise Wiley, 2004 | 951 | 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 | 733 | 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 | 668 | 2013 |
| Mahalanobis distance GJ McLachlan Resonance 4 (6), 20-26, 1999 | 582 | 1999 |
| 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 | 499 | 2009 |
| 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 | 338 | 2012 |
| Mixtures of factor analyzers GJ McLachlan, D Peel Proceedings of the seventeenth international conference on machine learning …, 2000 | 327 | 2000 |
| 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 | 317 | 2003 |
| 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 | 275 | 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 | 268 | 1999 |
| Finite mixtures of multivariate skew t-distributions: some recent and new results S Lee, GJ McLachlan Statistics and Computing 24, 181-202, 2014 | 258 | 2014 |
