| Variable selection for model-based clustering AE Raftery, N Dean Journal of the American Statistical Association 101 (473), 168-178, 2006 | 704 | 2006 |
| Latent class analysis variable selection N Dean, AE Raftery Annals of the Institute of Statistical Mathematics 62, 11-35, 2010 | 205 | 2010 |
| Using unlabelled data to update classification rules with applications in food authenticity studies N Dean, TB Murphy, G Downey Journal of the Royal Statistical Society Series C: Applied Statistics 55 (1 …, 2006 | 136 | 2006 |
| Q-learning: Flexible learning about useful utilities EEM Moodie, N Dean, YR Sun Statistics in Biosciences 6, 223-243, 2014 | 130 | 2014 |
| Identifying clusters in Bayesian disease mapping C Anderson, D Lee, N Dean Biostatistics 15 (3), 457-469, 2014 | 94 | 2014 |
| Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications TB Murphy, N Dean, AE Raftery The annals of applied statistics 4 (1), 396, 2010 | 85 | 2010 |
| Normal uniform mixture differential gene expression detection for cDNA microarrays N Dean, AE Raftery BMC bioinformatics 6, 1-14, 2005 | 83 | 2005 |
| A Comparison of Student Skill Knowledge Estimates. E Ayers, R Nugent, N Dean International Working Group on Educational Data Mining, 2009 | 79 | 2009 |
| Frontiers in residential segregation: Understanding neighbourhood boundaries and their impacts N Dean, G Dong, A Piekut, G Pryce Tijdschrift voor economische en sociale geografie 110 (3), 271-288, 2019 | 67 | 2019 |
| A Survey of Popular R Packages for Cluster Analysis A Flynt, N Dean Journal of Educational and Behavioral Statistics 41 (2), 205-225, 2016 | 61 | 2016 |
| Skill set profile clustering based on student capability vectors computed from online tutoring data E Ayers, R Nugent, N Dean | 45 | 2008 |
| Skill set profile clustering: the empty K-means algorithm with automatic specification of starting cluster centers R Nugent, N Dean, E Ayers | 36 | 2010 |
| Benchmarking in cluster analysis: A white paper I Van Mechelen, AL Boulesteix, R Dangl, N Dean, I Guyon, C Hennig, ... arXiv preprint arXiv:1809.10496, 2018 | 32 | 2018 |
| Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra A Martyna, G Zadora, T Neocleous, A Michalska, N Dean Analytica Chimica Acta 931, 34-46, 2016 | 26 | 2016 |
| A white paper on good research practices in benchmarking: The case of cluster analysis I Van Mechelen, AL Boulesteix, R Dangl, N Dean, C Hennig, F Leisch, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (6 …, 2023 | 21 | 2023 |
| Bayesian cluster detection via adjacency modelling C Anderson, D Lee, N Dean Spatial and spatio-temporal epidemiology 16, 11-20, 2016 | 21 | 2016 |
| Conditional Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students. R Nugent, E Ayers, N Dean International Working Group on Educational Data Mining, 2009 | 21 | 2009 |
| Spatial clustering of average risks and risk trends in Bayesian disease mapping C Anderson, D Lee, N Dean Biometrical Journal 59 (1), 41-56, 2017 | 19 | 2017 |
| Is the housing market blind to religion? A perceived substitutability approach to homophily and social integration N Dean, G Pryce Urban Studies 54 (13), 3058-3070, 2017 | 13 | 2017 |
| Estimating the changing nature of Scotland's health inequalities by using a multivariate spatiotemporal model E Jack, D Lee, N Dean Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019 | 12 | 2019 |
