3 papers
stat.ML2026
Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data
Mackenzie R. Neal, Paul D. McNicholas, Arthur White
Generative approaches to clustering provide information on geometric properties of clusters, whereas discriminative approaches provide boundaries between clusters. Ideas from both…
stat.ME2024
Hidden Markov Models for Multivariate Panel Data
Mackenzie R. Neal, Alexa A. Sochaniwsky, Paul D. McNicholas
While advances continue to be made in model-based clustering, challenges persist in modeling various data types such as panel data. Multivariate panel data present difficulties for…
stat.ME2023
Flexible Variable Selection for Clustering and Classification
Mackenzie R. Neal, Paul D. McNicholas
The importance of variable selection for clustering has been recognized for some time, and mixture models are well-established as a statistical approach to clustering. Yet, the lit…