Thursday November 22, 2018
L.R. Wilson Hall 1003
An overview of clustering and classification, and where they fit within data science and statistics, will be presented. A statistical, model-based, framework for clustering and classification will be discussed. Several real data examples will be used to illustrate different approaches and/or subtleties, including high-dimensional data, three-way data, and handling outliers. The talk concludes with a discussion about ongoing and future work.