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)

301 - 320 of 370 works

1992

Journal Article

Cluster analysis and related techniques in medical research

Mclachlan G.J. (1992). Cluster analysis and related techniques in medical research. Statistical Methods in Medical Research, 1 (1), 27-48. doi: 10.1177/096228029200100103

Cluster analysis and related techniques in medical research

1992

Book

Discriminant analysis and statistical pattern recognition

McLachlan, Geoffrey John (1992). Discriminant analysis and statistical pattern recognition. New York , United States: Wiley.

Discriminant analysis and statistical pattern recognition

1992

Book

Discriminant analysis and statistical pattern recognition

McLachlan, Geoffrey J. (1992). Discriminant analysis and statistical pattern recognition. Hoboken, NJ, USA: John Wiley & Sons. doi: 10.1002/0471725293

Discriminant analysis and statistical pattern recognition

1991

Journal Article

The analysis of time-related events after cardiac surgery

McGiffen, David C. and McLachlan, Geoffrey J. (1991). The analysis of time-related events after cardiac surgery. The AustralAsian Journal of Cardiac and Thoracic Surgery, 1 (1), 11-13. doi: 10.1016/1037-2091(91)90007-Y

The analysis of time-related events after cardiac surgery

1991

Journal Article

Fitting Mixture Distributions to Phenylthiocarbamide (ptc) Sensitivity

Jones, PN and McLachlan, GJ (1991). Fitting Mixture Distributions to Phenylthiocarbamide (ptc) Sensitivity. American Journal of Human Genetics, 48 (1), 117-120.

Fitting Mixture Distributions to Phenylthiocarbamide (ptc) Sensitivity

1991

Conference Publication

Allograft aortic valve replacement: Long-term comparative clinical analysis of the viable cryopreserved and antibiotic 4 °C stored valves

O'Brien, M. F., McGiffin, D. C., Stafford, E. G., Gardner, M. A.H., Pohlner, P. F., McLachlan, G. J., Gall, K., Smith, S. and Murphy, E. (1991). Allograft aortic valve replacement: Long-term comparative clinical analysis of the viable cryopreserved and antibiotic 4 °C stored valves. V International Symposium on Cardiac Bioprostheses, Avignon, France, 24–27 May 1991. Hoboken, NJ United States: Wiley-Blackwell. doi: 10.1111/jocs.1991.6.4s.534

Allograft aortic valve replacement: Long-term comparative clinical analysis of the viable cryopreserved and antibiotic 4 °C stored valves

1990

Journal Article

Laplace-normal mixtures fitted to wind shear data

Jones, P. N. and McLachlan, G. J. (1990). Laplace-normal mixtures fitted to wind shear data. Journal of Applied Statistics, 17 (2), 271-276. doi: 10.1080/757582839

Laplace-normal mixtures fitted to wind shear data

1990

Journal Article

Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models

Jones, P. N. and McLachlan, G. J. (1990). Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Applied Statistics - Journal of the Royal Statistical Society Series C, 39 (2), 273-282. doi: 10.2307/2347776

Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models

1989

Journal Article

Mixture-Models for Partially Unclassified Data - a Case-Study of Renal Venous Renin in Hypertension

McLachlan, GJ and Gordon, RD (1989). Mixture-Models for Partially Unclassified Data - a Case-Study of Renal Venous Renin in Hypertension. Statistics in Medicine, 8 (10), 1291-1300. doi: 10.1002/sim.4780081012

Mixture-Models for Partially Unclassified Data - a Case-Study of Renal Venous Renin in Hypertension

1989

Journal Article

Modeling Mass-Size Particle Data by Finite Mixtures

Jones, PN and McLachlan, GJ (1989). Modeling Mass-Size Particle Data by Finite Mixtures. Communications in Statistics-Theory and Methods, 18 (7), 2629-2646. doi: 10.1080/03610928908830054

Modeling Mass-Size Particle Data by Finite Mixtures

1989

Journal Article

Bias Associated with the Discriminant-Analysis Approach to the Estimation of Mixing Proportions

Lawoko, Cro and McLachlan, GJ (1989). Bias Associated with the Discriminant-Analysis Approach to the Estimation of Mixing Proportions. Pattern Recognition, 22 (6), 763-766. doi: 10.1016/0031-3203(89)90012-5

Bias Associated with the Discriminant-Analysis Approach to the Estimation of Mixing Proportions

1988

Journal Article

Fitting Mixture-Models to Grouped and Truncated Data Via the Em Algorithm

McLachlan, GJ and Jones, PN (1988). Fitting Mixture-Models to Grouped and Truncated Data Via the Em Algorithm. Biometrics, 44 (2), 571-578. doi: 10.2307/2531869

Fitting Mixture-Models to Grouped and Truncated Data Via the Em Algorithm

1988

Journal Article

On the Choice of Starting Values for the Em Algorithm in Fitting Mixture-Models

McLachlan, GJ (1988). On the Choice of Starting Values for the Em Algorithm in Fitting Mixture-Models. Statistician, 37 (4-5), 417-425. doi: 10.2307/2348768

On the Choice of Starting Values for the Em Algorithm in Fitting Mixture-Models

1988

Book

Mixture models : inference and applications to clustering

McLachlan, Geoffrey J. and Basford, Kaye E. (1988). Mixture models : inference and applications to clustering. New York, United States: Marcel Dekker.

Mixture models : inference and applications to clustering

1988

Journal Article

Further Results On Discrimination with Auto-Correlated Observations

Lawoko, Cro and McLachlan, GJ (1988). Further Results On Discrimination with Auto-Correlated Observations. Pattern Recognition, 21 (1), 69-72. doi: 10.1016/0031-3203(88)90073-8

Further Results On Discrimination with Auto-Correlated Observations

1987

Journal Article

On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture

McLachlan, GJ (1987). On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture. Applied Statistics-Journal of the Royal Statistical Society Series C, 36 (3), 318-324. doi: 10.2307/2347790

On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture

1987

Journal Article

A Note On the Aitkin-Rubin Approach to Hypothesis-Testing in Mixture-Models

Quinn, BG, McLachlan, GJ and Hjort, NL (1987). A Note On the Aitkin-Rubin Approach to Hypothesis-Testing in Mixture-Models. Journal of the Royal Statistical Society Series B-Methodological, 49 (3), 311-314. doi: 10.1111/j.2517-6161.1987.tb01700.x

A Note On the Aitkin-Rubin Approach to Hypothesis-Testing in Mixture-Models

1986

Journal Article

Assessing the Performance of An Allocation Rule

McLachlan, GJ (1986). Assessing the Performance of An Allocation Rule. Computers & Mathematics with Applications-Part a, 12 (2), 261-272. doi: 10.1016/0898-1221(86)90079-9

Assessing the Performance of An Allocation Rule

1986

Journal Article

Asymptotic Error Rates of the W-Statistics and Z-Statistics When the Training Observations Are Dependent

Lawoko, Cro and McLachlan, GJ (1986). Asymptotic Error Rates of the W-Statistics and Z-Statistics When the Training Observations Are Dependent. Pattern Recognition, 19 (6), 467-471. doi: 10.1016/0031-3203(86)90045-2

Asymptotic Error Rates of the W-Statistics and Z-Statistics When the Training Observations Are Dependent

1985

Journal Article

Likelihood Estimation with Normal Mixture-Models

Basford, KE and McLachlan, GJ (1985). Likelihood Estimation with Normal Mixture-Models. Applied Statistics-Journal of the Royal Statistical Society Series C, 34 (3), 282-289. doi: 10.2307/2347474

Likelihood Estimation with Normal Mixture-Models

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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