no code implementations • 2 May 2018 • Toon Van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
This paper studies semi-supervised clustering in the context of time series.
no code implementations • 29 Mar 2018 • Toon Van Craenendonck, Sebastijan Dumančić, Elia Van Wolputte, Hendrik Blockeel
This background knowledge is often obtained by allowing the clustering system to pose pairwise queries to the user: should these two elements be in the same cluster or not?
no code implementations • 30 Jan 2018 • Toon Van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
Clustering is inherently ill-posed: there often exist multiple valid clusterings of a single dataset, and without any additional information a clustering system has no way of knowing which clustering it should produce.
no code implementations • 23 Sep 2016 • Toon Van Craenendonck, Hendrik Blockeel
Semi-supervised clustering methods incorporate a limited amount of supervision into the clustering process.