Challenges in Cluster Analyses for Longitudinal Data Universiteit Hasselt
In this dissertation, we have addressed clustering for high dimensional data, possibly subject to missingness. The research was inspired by a number of data sets, ranging from data collected in a mental care setting, studies in patients with abdominal aortic aneurysm or heart failure, to an EEG study in rats. The communality in these studies is the believe that the population under investigation is not homogenous, but instead consists of ...