Aggregation techniques provide a means to summarise complex, high-dimensional datasets into reduced representations that retain essential information. In multidimensional contexts, data points often ...
Model-based clustering formulates the identification of groups within data as the estimation of parameters in a probabilistic mixture model. In high-dimensional settings, where the number of variables ...