In this paper we present an interactive clustering system that exploits such constraints. It is implemented on top of the recently introduced COBRASTS method.
Jan 18, 2019 · In this paper we present an interactive clustering system that exploits such constraints. The system is based on COBRASTS [2], a recently ...
Library for semi-supervised clustering using pairwise constraints. COBRAS supports three modes for constraint elicitation.
The system repeats the following steps until a satisfactory clustering is obtained: it presents several pairwise queries to the user through a visual interface, ...
COBRAS dynamically refines super-instances during clustering, making it suitable for interactive clustering.
Missing: COBRASTS. | Show results with:COBRASTS.
Interactive Time Series Clustering with COBRASTS. https://doi.org/10.1007/978-3-030-10997-4_45 ·. Journal: Machine Learning and Knowledge Discovery in ...
It is shown that COBRAS, a state-of-the-art semi-supervised clustering method, can be adapted to this setting and far outperforms the current state of the ...
Oct 29, 2018 · COBRAS is not suited out-of-the-box for time series clustering, for two reasons. First, it defines the super-instance medoids w.r.t. the ...
Interactive Time Series Clustering with COBRASTS. Toon Van Craenendonck, Wannes Meert, Sebastijan Dumančić, Hendrik Blockeel. https://doi.org/10.1007/978-3 ...
Recent work has shown that time series clustering can benefit greatly from small amounts of supervision in the form of pairwise constraints. Such constraints ...