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)

261 - 280 of 370 works

1999

Conference Publication

Computing issues for the EM algorithm in mixture models

Mclachlan, G. J. and Peel, D. (1999). Computing issues for the EM algorithm in mixture models. Interface '99, Schaumbury, Illinois, June 1999. Fairfax Station, Virginia: Interface Foundation of North America.

Computing issues for the EM algorithm in mixture models

1999

Journal Article

Constrained mixture models in competing risks problems

Ng, SK, McLachlan, GJ, McGiffin, DC and OBrien, MF (1999). Constrained mixture models in competing risks problems. Environmetrics, 10 (6), 753-767. doi: 10.1002/(SICI)1099-095X(199911/12)10:63.3.CO;2-B

Constrained mixture models in competing risks problems

1999

Conference Publication

Hierarchical models for the screening of iron deficiency anemia

Cadez, I. V., McLaren, C. E., Smyth, P. and Mclachlan, G. J. (1999). Hierarchical models for the screening of iron deficiency anemia. Sixteenth International Conference on Machine Learning (ICML-99), Bled, Slovenia, June 27-30, 1999. Los Gatos, California: Morgan Kaufmann.

Hierarchical models for the screening of iron deficiency anemia

1998

Journal Article

On modifications to the long-term survival mixture model in the presence of competing risks

Ng, SK and McLachlan, GJ (1998). On modifications to the long-term survival mixture model in the presence of competing risks. Journal of Statistical Computation And Simulation, 61 (1-2), 77-96. doi: 10.1080/00949659808811903

On modifications to the long-term survival mixture model in the presence of competing risks

1998

Journal Article

Distribution of transferrin saturation in an Australian population: Relevance to the early diagnosis of hemochromatosis

McLarenCE, McLachlanGJ, HallidayJW, WebbSI, LeggettBA, JazwinskaEC, Crawford, DHG, GordeukVR, McLarenGD and PowellLW (1998). Distribution of transferrin saturation in an Australian population: Relevance to the early diagnosis of hemochromatosis. Gastroenterology, 114 (3), 543-549. doi: 10.1016/S0016-5085(98)70538-4

Distribution of transferrin saturation in an Australian population: Relevance to the early diagnosis of hemochromatosis

1998

Journal Article

25 years of applied statistics

McLachlan, G (1998). 25 years of applied statistics. Journal of Applied Statistics, 25 (1), 3-22.

25 years of applied statistics

1998

Conference Publication

Mining in the presence of selectivity bias and its application to reject inference

Feelders, A. J., Chang, Soong and McLachlan, G. J. (1998). Mining in the presence of selectivity bias and its application to reject inference. 4th International Conference on Knowledge Discovery and Data Mining, New York, United States, 27-31 August 1998. AAAI Press.

Mining in the presence of selectivity bias and its application to reject inference

1998

Conference Publication

MIXFIT: An algorithm for the automatic fitting and testing of normal mixture models

McLachlan, GJ and Peel, D (1998). MIXFIT: An algorithm for the automatic fitting and testing of normal mixture models. 14th International Conference on Pattern Recognition, Brisbane Australia, Aug 16-20, 1998. LOS ALAMITOS: IEEE COMPUTER SOC. doi: 10.1109/icpr.1998.711203

MIXFIT: An algorithm for the automatic fitting and testing of normal mixture models

1998

Journal Article

Mathematical classification and clustering.

McLachlan, G (1998). Mathematical classification and clustering.. Psychometrika, 63 (1), 93-95. doi: 10.1007/BF02295440

Mathematical classification and clustering.

1998

Journal Article

Heterogeneity in schizophrenia: A mixture model analysis based on age-of-onset, gender and diagnosis

McLachlan, G, Welham, J and McGrath, J (1998). Heterogeneity in schizophrenia: A mixture model analysis based on age-of-onset, gender and diagnosis. Schizophrenia Research, 29 (1-2), 25-25. doi: 10.1016/S0920-9964(97)88353-3

Heterogeneity in schizophrenia: A mixture model analysis based on age-of-onset, gender and diagnosis

1998

Conference Publication

Robust cluster analysis via mixtures of multivariate t-distributions

McLachlan G.J. and Peel D. (1998). Robust cluster analysis via mixtures of multivariate t-distributions. 7th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in Pattern Recognition, SPR 1998, August 11, 1998-August 13, 1998. Springer Verlag. doi: 10.1007/bfb0033290

Robust cluster analysis via mixtures of multivariate t-distributions

1997

Journal Article

Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited

Basford, K. E., Mclachlan, G. J. and York, M. G. (1997). Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited. Journal of Applied Statistics, 24 (2), 169-179.

Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited

1997

Journal Article

An algorithm for fitting mixtures of Gompertz distributions to censored survival data

McLachlan, G. J., Ng, S. K., Adams, P., McGiffin, D. C. and Galbraith, A. J. (1997). An algorithm for fitting mixtures of Gompertz distributions to censored survival data. Journal of Statistical Software, 2 (7), 1-23. doi: 10.18637/jss.v002.i07

An algorithm for fitting mixtures of Gompertz distributions to censored survival data

1997

Journal Article

Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited

Basford, K. E., McLachlan, G. J. and York, M. G. (1997). Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited. Journal of Applied Statistics, 24 (2), 169-180. doi: 10.1080/02664769723783

Modelling the distribution of stamp paper thickness via finite normal mixtures: The 1872 Hidalgo stamp issue of Mexico revisited

1997

Journal Article

On the EM algorithm for overdispersed count data

McLachlan, G. J. (1997). On the EM algorithm for overdispersed count data. Statistical Methods in Medical Research, 6 (1), 76-98. doi: 10.1177/096228029700600106

On the EM algorithm for overdispersed count data

1997

Journal Article

High-breakdown linear discriminant analysis

Hawkins, DM and McLachlan, GJ (1997). High-breakdown linear discriminant analysis. Journal of The American Statistical Association, 92 (437), 136-143. doi: 10.2307/2291457

High-breakdown linear discriminant analysis

1997

Journal Article

Standard errors of fitted component means of normal mixtures

Basford, K. E., Greenway, D. R., McLachlan, G. J. and Peel, D. (1997). Standard errors of fitted component means of normal mixtures. Computational Statistics, 12 (1), 1-17.

Standard errors of fitted component means of normal mixtures

1997

Journal Article

On Bayesian analysis of mixtures with an unknown number of components - Discussion

McLachlan, G (1997). On Bayesian analysis of mixtures with an unknown number of components - Discussion. Journal of The Royal Statistical Society Series B-methodological, 59 (4), 758-792.

On Bayesian analysis of mixtures with an unknown number of components - Discussion

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

1997

Journal Article

An analysis of valve re-replacement after aortic valve replacement with biologic devices

McGiffin, DC, Galbraith, AJ, OBrien, MF, McLachlan, GJ, Naftel, DC, Adams, P, Reddy, S and Early, L (1997). An analysis of valve re-replacement after aortic valve replacement with biologic devices. Journal of Thoracic And Cardiovascular Surgery, 113 (2), 311-318. doi: 10.1016/S0022-5223(97)70328-3

An analysis of valve re-replacement after aortic valve replacement with biologic devices

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
    UQ External Support Enabling Grant
    Open grant
  • 2003
    Classification of Microarray Gene-Expression Data
    ARC Discovery Projects
    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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