Professor Geoffrey McLachlan
Professor

Geoffrey McLachlan

Email: 
Phone: 
+61 7 336 52150

Background

Professor Geoffrey McLachlan's research interests are in: data mining, statistical analysis of microarray, gene expression data, finite mixture models and medical statistics.

Professor McLachlan received his PhD from the University of Queensland in 1974 and his DSc from there in 1994. His current research projects in statistics are in the related fields of classification, cluster and discriminant analyses, image analysis, machine learning, neural networks, and pattern recognition, and in the field of statistical inference. The focus in the latter field has been on the theory and applications of finite mixture models and on estimation via the EM algorithm.

A common theme of his research in these fields has been statistical computation, with particular attention being given to the computational aspects of the statistical methodology. This computational theme extends to Professor McLachlan's more recent interests in the field of data mining.

He is also actively involved in research in the field of medical statistics and, more recently, in the statistical analysis of microarray gene expression data.

Availability

Professor Geoffrey McLachlan is:
Available for supervision
Media expert

Fields of research

Statistics

Qualifications

  • Bachelor (Honours) of Science (Advanced), The University of Queensland
  • Doctor of Philosophy, The University of Queensland
  • Doctoral Diploma of Science (Advanced), The University of Queensland
  • Australian Mathematical Society, Australian Mathematical Society

Search Professor Geoffrey McLachlan’s works on UQ eSpace

370 works between 1972 and 2024
All (370) Journal Article (249) Book Chapter (34) Conference Publication (75) Book (9) Other Outputs (2) Edited Outputs (1)

281 - 300 of 370 works

1997

Book

The EM algorithm and extensions

McLachlan, Geoffrey J. and Krishnan, Thriyambakam (1997). The EM algorithm and extensions. New York, United States: Wiley.

The EM algorithm and extensions

1996

Journal Article

Maximum likelihood clustering via normal mixture models

McLachlan, GJ, Peel, D and Whiten, WJ (1996). Maximum likelihood clustering via normal mixture models. Signal Processing-Image Communication, 8 (2), 105-111. doi: 10.1016/0923-5965(95)00039-9

Maximum likelihood clustering via normal mixture models

1996

Conference Publication

Clustering of magnetic resonance images

McLachlan, GJ, Ng, SK, Galloway, GJ and Wang, D (1996). Clustering of magnetic resonance images. Symposium of the Statistical-Computing-Section, at the Annual Meeting of the American-Statistical-Association, Chicago Il, Aug 04-08, 1996. ALEXANDRIA: AMER STATISTICAL ASSOC.

Clustering of magnetic resonance images

1996

Journal Article

Likelihood-based approaches to pattern recognition

McLachlan, G. J. (1996). Likelihood-based approaches to pattern recognition. Far East Journal of Mathematical Sciences, 4 (Pt. 1), 1-29.

Likelihood-based approaches to pattern recognition

1995

Conference Publication

The distribution of transferrin saturation in an asymptomatic Australian population: relevance to the early diagnosis of hemochromatosis Washington, from. December 1-5, 1995.

McLaren, C.E., McLachlan, G.J., Webb, S.J., Jazwinska, E.C., Crawford, D.H.G., Gordeuk, V.R., McLaren, G.D. and Powell, LW (1995). The distribution of transferrin saturation in an asymptomatic Australian population: relevance to the early diagnosis of hemochromatosis Washington, from. December 1-5, 1995.. 37th Annual Meeting of the American Society of Hematology, Seattle, WA, United States, 1-5 December 1995. Washington, DC, United States: American Society of Hematology.

The distribution of transferrin saturation in an asymptomatic Australian population: relevance to the early diagnosis of hemochromatosis Washington, from. December 1-5, 1995.

1995

Journal Article

An Algorithm for the Likelihood Ratio Test of One Versus 2 Components in a Normal Mixture Model Fitted to Grouped and Truncated Data

McLachlan, GJ, McLaren, CE and Matthews, D (1995). An Algorithm for the Likelihood Ratio Test of One Versus 2 Components in a Normal Mixture Model Fitted to Grouped and Truncated Data. Communications in Statistics-Simulation and Computation, 24 (4), 965-985. doi: 10.1080/03610919508813288

An Algorithm for the Likelihood Ratio Test of One Versus 2 Components in a Normal Mixture Model Fitted to Grouped and Truncated Data

1995

Journal Article

Asymptotic Relative Efficiency of the Linear Discriminant Function Under Partial Nonrandom Classification of the Training Data

McLachlan, GJ and Scot, D (1995). Asymptotic Relative Efficiency of the Linear Discriminant Function Under Partial Nonrandom Classification of the Training Data. Journal of Statistical Computation and Simulation, 52 (4), 415-426. doi: 10.1080/00949659508811689

Asymptotic Relative Efficiency of the Linear Discriminant Function Under Partial Nonrandom Classification of the Training Data

1994

Conference Publication

Early Detection of the Development of Iron-Deficiency by Patient-Specific Sequential-Analysis of Hematological Tests

McLaren, CE, McLaren, GD, Kambour, EL, McLachlan, GJ, Lukaski, HC, Li, X and Brittenham, GM (1994). Early Detection of the Development of Iron-Deficiency by Patient-Specific Sequential-Analysis of Hematological Tests. PHILADELPHIA: SLACK INC.

Early Detection of the Development of Iron-Deficiency by Patient-Specific Sequential-Analysis of Hematological Tests

1994

Conference Publication

Early Detection of the Development of Iron-Deficiency by Patient-Specific Sequential-Analysis of Hematological Tests

McLaren, GD, McLaren, CE, Kambour, EL, Lukaski, HC, Xia, L, McLachlan, GJ and Brittenham, GM (1994). Early Detection of the Development of Iron-Deficiency by Patient-Specific Sequential-Analysis of Hematological Tests. THOROFARE: W B SAUNDERS CO.

Early Detection of the Development of Iron-Deficiency by Patient-Specific Sequential-Analysis of Hematological Tests

1994

Journal Article

Relationship of Platelet-Aggregation to Bleeding After Cardiopulmonary Bypass

Ray, MJ, Hawson, Gat, Just, Sje, McLachlan, G and Obrien, M (1994). Relationship of Platelet-Aggregation to Bleeding After Cardiopulmonary Bypass. Annals of Thoracic Surgery, 57 (4), 981-986.

Relationship of Platelet-Aggregation to Bleeding After Cardiopulmonary Bypass

1994

Journal Article

Parametric-Estimation in a Genetic Mixture Model with Application to Nuclear Family Data

Shoukri, MM and McLachlan, GJ (1994). Parametric-Estimation in a Genetic Mixture Model with Application to Nuclear Family Data. Biometrics, 50 (1), 128-139. doi: 10.2307/2533203

Parametric-Estimation in a Genetic Mixture Model with Application to Nuclear Family Data

1994

Journal Article

Relationship of platelet aggregation to bleeding after cardiopulmonary bypass

Ray, Michael J., Hawson, Geoffrey A.T., Just, Sarah J.E., McLachlan, Geoffery and O'Brien, Mark (1994). Relationship of platelet aggregation to bleeding after cardiopulmonary bypass. The Annals of Thoracic Surgery, 57 (4), 981-986. doi: 10.1016/0003-4975(94)90218-6

Relationship of platelet aggregation to bleeding after cardiopulmonary bypass

1994

Journal Article

On the role of finite mixture models in survival analysis.

McLachlan G.J. and McGiffin D.C. (1994). On the role of finite mixture models in survival analysis.. Statistical methods in medical research, 3 (3), 211-226. doi: 10.1177/096228029400300302

On the role of finite mixture models in survival analysis.

1994

Journal Article

Estimation of Mixing Proportions in the Presence of Autoregressively Correlated Training Data - the Case of 2 Univariate Normal-Populations

Lawoko, Cro and McLachlan, GJ (1994). Estimation of Mixing Proportions in the Presence of Autoregressively Correlated Training Data - the Case of 2 Univariate Normal-Populations. Communications in Statistics-Simulation and Computation, 23 (3), 591-613. doi: 10.1080/03610919408813189

Estimation of Mixing Proportions in the Presence of Autoregressively Correlated Training Data - the Case of 2 Univariate Normal-Populations

1994

Journal Article

Neural Networks and Related Methods for Classification - Discussion

Whittle, P, Kay, J, Hand, DJ, Tarassenko, L, Brown, PJ, Titterington, DM, Taylor, C, Gilks, WR, Critchley, F, Mayne, AJ, Wahba, G, Luttrell, SP, Baczkowski, AJ, Mardia, KV, Breiman, L, Buntine, W, Chatfield, C, Deveaux, RD, Darken, CJ, Ungar, LH, Glendinning, RH, Hastie, T, Tibshirani, R, McLachlan, GJ, Michie, D, Owen, AB, Wolpert, DH and Ripley, BD (1994). Neural Networks and Related Methods for Classification - Discussion. Journal of the Royal Statistical Society Series B-Methodological, 56 (3), 437-456.

Neural Networks and Related Methods for Classification - Discussion

1993

Journal Article

An Analysis of Risk-Factors for Death and Mode-Specific Death After Aortic-Valve Replacement with Allograft, Xenograft, and Mechanical Valves

McGiffin, DC, Obrien, MF, Galbraith, AJ, McLachlan, GJ, Stafford, EG, Gardner, Mah, Pohlner, PG, Early, L and Kear, L (1993). An Analysis of Risk-Factors for Death and Mode-Specific Death After Aortic-Valve Replacement with Allograft, Xenograft, and Mechanical Valves. Journal of Thoracic and Cardiovascular Surgery, 106 (5), 895-911. doi: 10.1016/s0022-5223(19)34046-2

An Analysis of Risk-Factors for Death and Mode-Specific Death After Aortic-Valve Replacement with Allograft, Xenograft, and Mechanical Valves

1993

Journal Article

A Connection Between the Logit Model, Normal Discriminant-Analysis, and Multivariate Normal Mixtures - Comment

McLachlan, G (1993). A Connection Between the Logit Model, Normal Discriminant-Analysis, and Multivariate Normal Mixtures - Comment. American Statistician, 47 (1), 88-88.

A Connection Between the Logit Model, Normal Discriminant-Analysis, and Multivariate Normal Mixtures - Comment

1992

Journal Article

Aortic-Valve Infection - Risk-Factors for Death and Recurrent Endocarditis After Aortic-Valve Replacement

McGiffin, DC, Galbraith, AJ, McLachlan, GJ, Stower, RE, Wong, ML, Stafford, EG, Gardner, Mah, Pohlner, PG and Obrien, MF (1992). Aortic-Valve Infection - Risk-Factors for Death and Recurrent Endocarditis After Aortic-Valve Replacement. Journal of Thoracic and Cardiovascular Surgery, 104 (2), 511-520. doi: 10.1016/s0022-5223(19)34813-5

Aortic-Valve Infection - Risk-Factors for Death and Recurrent Endocarditis After Aortic-Valve Replacement

1992

Journal Article

Fitting finite mixture models in a regression context

Jones, P. N. and McLachlan, G. J. (1992). Fitting finite mixture models in a regression context. Australian Journal of Statistics, 34 (2), 233-240. doi: 10.1111/j.1467-842X.1992.tb01356.x

Fitting finite mixture models in a regression context

1992

Journal Article

Improving the convergence rate of the EM algorithm for a mixture model fitted to grouped truncated data

Jones, Peter N. and McLachlan, Geoffrey J. (1992). Improving the convergence rate of the EM algorithm for a mixture model fitted to grouped truncated data. Journal of Statistical Computation and Simulation, 43 (1-2), 31-44. doi: 10.1080/00949659208811426

Improving the convergence rate of the EM algorithm for a mixture model fitted to grouped truncated data

Current funding

  • 2023 - 2026
    A Novel Approach to Semi-Supervised Statistical Machine Learning
    ARC Discovery Projects
    Open grant

Past funding

  • 2018 - 2022
    Classification methods for providing personalised and class decisions
    ARC Discovery Projects
    Open grant
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    Open grant
  • 2017 - 2020
    Power Quality Monitoring of Grids with High Penetration of Power Converters
    ARC Linkage Projects
    Open grant
  • 2017 - 2020
    Expanding the Role of Mixture Models in Statistical Analyses of Big Data
    ARC Discovery Projects
    Open grant
  • 2015 - 2018
    Gene expression profiling in critically ill patients with septic shock: The ADRENAL-GEPS Study
    NHMRC Project Grant
    Open grant
  • 2015 - 2017
    Large-Scale Statistical Inference: Multiple Testing
    ARC Discovery Projects
    Open grant
  • 2014 - 2016
    System to Synapse
    ARC Linkage Projects
    Open grant
  • 2014 - 2017
    Advanced Mixture Models for the Analysis of Modern-Day Data
    ARC Discovery Projects
    Open grant
  • 2012 - 2014
    System to synapse: a small animal imaging suite
    UQ Collaboration and Industry Engagement Fund
    Open grant
  • 2012 - 2014
    Joint Clustering and Matching of Multivariate Samples Across Objects
    ARC Discovery Projects
    Open grant
  • 2012 - 2014
    Statistical Modelling of Complex, High-Dimensional Data
    Vice-Chancellor's Senior Research Fellowship
    Open grant
  • 2011 - 2013
    A New Approach to Fast Matrix Factorization for the Statistical Analysis of High-Dimensional Data
    ARC Discovery Projects
    Open grant
  • 2008 - 2010
    Mixture models for high-dimensional clustering with applications to tumour classification, network intrusion, and text classification
    ARC Discovery Projects
    Open grant
  • 2007 - 2011
    Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics
    ARC Discovery Projects
    Open grant
  • 2007 - 2009
    Noncoding RNAs as prognostic markers and therapeutic targets in breast cancer
    NHMRC Project Grant
    Open grant
  • 2004
    ARC Network in Imaging Science and Technology
    ARC Seed Funding for Research Networks
    Open grant
  • 2004
    ARC Research Network in Microarray Technology
    ARC Seed Funding for Research Networks
    Open grant
  • 2003 - 2010
    ARC Centre of Excellence in Bioinformatics
    ARC Centres of Excellence
    Open grant
  • 2003
    Classification of Microarray Gene-Expression Data
    ARC Discovery Projects
    Open grant
  • 2003
    Classification of Microarray Gene-expression Data
    UQ External Support Enabling Grant
    Open grant
  • 2003
    Unsupervised learning of finite mixture models in data mining applications
    ARC Discovery Projects
    Open grant
  • 2000 - 2002
    Classification of Multiply Observed Features in Terms of Fitted Densities
    ARC Australian Research Council (Large grants)
    Open grant
  • 2000 - 2002
    On Algorithms for the Automatic Analysis and Segmentation of Correlated Images
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999 - 2001
    Artificial Neural Networks and the EM Algorithm
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999
    On mixture regression models with constrained components for application to failure data on heart valves
    ARC Australian Research Council (Small grants)
    Open grant
  • 1998
    Robust cluster analysis
    ARC Australian Research Council (Small grants)
    Open grant
  • 1997
    On mixture models in medical imaging
    ARC Australian Research Council (Small grants)
    Open grant
  • 1997 - 1999
    The Analysis of Plant Adaptation Data with Emphasis on Unbalanced Sets
    ARC Australian Research Council (Large grants)
    Open grant
  • 1995 - 1997
    Approximation of multi-dimensional functions for curve fitting and model building
    ARC Australian Research Council (Large grants)
    Open grant

Availability

Professor Geoffrey McLachlan is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

Contact Professor Geoffrey McLachlan directly for media enquiries about:

  • Bioinformatics
  • Computation - statistics
  • Computer learning
  • Data mining
  • Gene expression data
  • Image analysis - statistics
  • Machine learning
  • Neural networks
  • Pattern recognition - statistics
  • Statistical methodology
  • Statistics

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