Finite Mixture Models GJ McLachlan, D Peel John Wiley & Sons, New York, 2000 | 12922* | 2000 |

Finite Mixture Models J McLachlan, G, D Peel John Wiley & Sons, 2000 | 12891* | 2000 |

Finite Mixture Models GJ McLachlan, D Peel | 12891* | 2000 |

Finite Mixture Models J McLachlan, G, D Peel | 12891* | 2000 |

The EM Algorithm and Extensions, Second Edition GJ McLachlan, T Krishnan John Wiley & Sons, New York, 2008 | 9145* | 2008 |

Top 10 algorithms in data mining X Wu, V Kumar, JR Quinlan, J Ghosh, Q Yang, H Motoda, GJ McLachlan, ... Knowledge and information systems 14 (1), 1-37, 2008 | 5644 | 2008 |

Discriminant analysis and statistical pattern recognition GJ McLachlan John Wiley & Sons, 2004 | 4709 | 2004 |

Discriminant analysis and statistical pattern recognition GJ McLachlan Wiley, 1992 | 4709* | 1992 |

Mixture models. Inference and applications to clustering GJ McLachlan, KE Basford Marcel Dekker, 1988 | 4139 | 1988 |

Mixture Models., 1988 GJ McLachlan, KE Basford Marcel Dekker, New York, 1965 | 4104* | 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 | 1576 | 2002 |

Robust mixture modelling using the t distribution D Peel, GJ McLachlan Statistics and computing 10 (4), 339-348, 2000 | 902 | 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 | 866 | 1987 |

Analyzing microarray gene expression data GJ McLachlan, KA Do, C Ambroise Wiley, 2004 | 838 | 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 | 706 | 2002 |

Clustering objects on subsets of attributes (with discussion) JH Friedman, JJ Meulman Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2004 | 585 | 2004 |

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 | 540 | 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 | 441 | 2009 |

Mahalanobis distance GJ McLachlan Resonance 4 (6), 20-26, 1999 | 285 | 1999 |

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 | 267 | 2003 |