Statistics Seminar - Michael Gallaugher - Advances in Clustering and Classification
Speaker: Michael Gallaugher (McMaster University)
Title: Advances in Clustering and Classification
Abstract: Clustering and classification is the process of finding and analyzing underlying homogenous group structure in heterogenous data. Over the last few years, there has been numerous advances in model based clustering and classification, two of which will be discussed. The first regards fractionally supervised classification which aims to down weight or up weight unlabelled points when performing supervised classification. The second will consider a parameter-wise co-clustering model for very high dimensional data. Both simulated and real datasets will be used for illustration.