K-medoids clustering uses distance measurement to find and classify data that have
similarities and inequalities. The distance measurement method selection can affect the …

Marketers have long since understood the importance of customer segmentation and
customer churn prediction modelling. However, linking these processes remains a …

We compare and demonstrate the effectiveness of two clustering methods with the main
purpose of identifying characteristic profiles of high utilizers of health care. In this work, we …

Global warming intensifies inevitable severe floods, thus necessitating robust evacuation
planning to minimize disaster impacts through swift assistance. Recognizing the …

Cinq essences, souvent en peuplement monospécifique, composent près de 80% du
volume de bois sur pied des forêts d'Europe occidentale. Celles-ci souffrent de plus en plus …

Despite the many existent types of clustering algorithms, clustering mixed-type data in an
interpretable way remains a challenging problem. In this paper, Mixed Integer Linear …

A structured content representation is the foundation for several systems, be it for an
automated processing of documents when considering intelligent workflows or for general …