Geoffrey J. McLachlan

Author

Also Known As

C Livesey, G J McLachlan, G. J. MCLACHLAN, G. J. Mc Lachlan, G. J. McLACHLAN, G. J. McLachlan, G. J. Mclachlan, G. M. McLachlan, G. McLachlan, G. Mclachlan

486

Publications

43.5K

Citations

H-Index

237

Concepts

All Affiliations

The University of Queensland Griffith University Curtin University

About

Geoffrey J. McLachlan is an author at The University of Queensland specializing in engineering, statistics, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	39	102	18.9K
2	Education	6	6	747
3	Business	4	4	101
4	Health Sciences	3	3	464
5	Management	1	1	17

Geoffrey J. McLachlan

176

Publications

28.3K

Citations

H-Index

Page 1

	Year	Citations
Top 10 algorithms in data mining Xindong Wu, Vipin Kumar, J. R. Quinlan, Knowledge and Information Systems Evolutionary Data MiningTop 10Machine LearningData ScienceData Mining	2007	5.6K
The EM Algorithm and Extensions Debashis Kushary, Geoffrey J. McLachlan, Thriyambakam Krishnan Technometrics Em AlgorithmStatistical Signal ProcessingMixture DistributionEngineeringStatistical Methods	1998	5.1K
Discriminant Analysis and Statistical Pattern Recognition. Douglas M. Hawkins, Geoffrey J. McLachlan Journal of the American Statistical Association Linear Discriminant AnalysisImage AnalysisFeature DetectionMachine VisionData Science	1993	2.7K
Selection bias in gene extraction on the basis of microarray gene-expression data Christophe Ambroise, Geoffrey J. McLachlan Proceedings of the National Academy of Sciences GeneticsGenetic EpidemiologyPathologyGenomicsGene Recognition	2002	1.4K
Modelling Survival Data in Medical Research. Geoffrey J. McLachlan, D. Collett Biometrics Prognostic AssessmentSurvival DataPrognosisMedicineClinical Data	1994	1K
Robust mixture modelling using the t distribution David Peel, Geoffrey J. McLachlan Statistics and Computing	2000	910
On Bootstrapping the Likelihood Ratio Test Stastistic for the Number of Components in a Normal Mixture Geoffrey J. McLachlan Journal of the Royal Statistical Society Series C (Applied Statistics)	1987	707
A mixture model-based approach to the clustering of microarray expression data Geoffrey J. McLachlan, Richard Bean, David Peel Bioinformatics	2002	562
Mahalanobis distance Geoffrey J. McLachlan Resonance	1999	444
Mixture Models: Inference and Applications to Clustering. David J. Hand, Geoffrey J. McLachlan, K. E. Basford Journal of the Royal Statistical Society Series C (Applied Statistics) Mixture DistributionClustering (Nuclear Physics)EngineeringMixture ModelsData Science	1989	381

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