A declarative framework for clustering. KU Leuven
One of the key tools to gain knowledge from data is clustering: identifying groups of instances that are highly similar. In the traditional unsupervised clustering process, a practitioner needs to select a suitable distance measure, clustering algorithm, and corresponding hyperparameter settings to arrive at a satisfactory clustering. Making the right choices for these components is hard, and as a result a practitioner often performs many ...