4 citations · 4 across the 2 of their papers we have counts for
3 papers
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series
Toon Van Craenendonck, Wannes Meert, Sebastijan Dumancic +1
Clustering is ubiquitous in data analysis, including analysis of time series. It is inherently subjective: different users may prefer different clusterings for a particular dataset…
COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints
Toon Van Craenendonck, Sebastijan Dumančić, Elia Van Wolputte +1
Constraint-based clustering algorithms exploit background knowledge to construct clusterings that are aligned with the interests of a particular user. This background knowledge is…
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints
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 knowi…