solutions to this problem and are effective in higher dimensions. We use mixture model-based clustering applications to …

The efficacy of family-based approaches to mixture model-based clustering and classification depends on the selection …

The first model-based clustering algorithm for multivariate functional data is proposed. After introducing multivariate …

Model-based clustering is a popular tool which is renowned for its probabilistic foundations and its flexibility …. However, high-dimensional data are nowadays more and more frequent and, unfortunately, classical model-based clustering … techniques show a disappointing behavior in high-dimensional spaces. This is mainly due to the fact that model-based clustering …

introduced for model-based clustering. The linear t CWM was recently presented as a robust alternative to the better known linear …. The novel model-based clustering technique is illustrated in some applications to real data. Finally, a simulation study …

stage, we identify market segments using model-based clustering techniques and estimate separate hedonic price functions for …