Some information on my research
My research interests are broadly focused in machine learning and data science, but I predominately work in statistical clustering. Clustering is considered an exploratory technique and method of unsupervised learning, with the goal of classifying groups of unlabeled observations. I work on both theoretical and applied problems in clustering, with applications in educational research, social justice and public health.
I am the current Past-President of The Classification Society.
Currently I am working as a co-PI on an NSF ADVANCE Grant , looking at barriers to hiring, promotion, and retention for women and minority STEM faculty at Bucknell.
Murph, A.\(^\star\), Flynt, A., and King B (2021). “Comparing finite sequences of discrete events with non-uniform time intervals.” Sequential Analysis, 40(3), 291-313.
Sweet, T., Flynt, A., and Choi, D. (2019), “Clustering ensembles of social networks.” Network Science, 7(2), 141 - 159.
Flynt, A., and Dean, N. (2019), “Growth mixture modeling with measurement selection.” The Journal of Classification, 36(1), 3 - 25.
Flynt, A., Dean, N., and Nugent, R. (2019), “sARI: a soft agreement measure for class partitions incorporating assignment probabilities.” Advances in Data Analysis and Classification, 13(1), 303 - 323.
Huang, Y.\(^\star\), and Flynt, A. (2018), “Exploration of common clustering methods and the behavior of certain performance indices.” Ball State Undergraduate Mathematics Exchange, 21(1), 35 - 50.
Flynt, A., and Dean, N. (2016), “A survey of popular R packages for clustering.” Journal of Educational and Behavioral Statistics, 41(2), 205 - 225.
Flynt, A. and Nugent, R. “Discussion of Statistical modelling of citation exchange among statistics journals by Varin, Cattelan and Firth” Journal of the Royal Statistical Society A, (2016), Vol 179, Part 1, p. 47 - 49.
Flynt, A., and Daepp, M. (2015), “Diet-related chronic disease in the northeastern United States: A model-based clustering approach.” International Journal of Health Geographics, 14 - 25.
Nugent, R. and Flynt, A. “Discussion of How to find an appropriate clustering for mixed type variables with application to socio-economic stratification by Hennig and Liao” Journal of the Royal Statistical Society C, (2013), Vol 62, Part 3, p. 47 - 48.
\(^\star\) Undergraduate Student