HISSCLU (Böhm and Plant 2008) can be seen as a semi-supervised version of OPTICS that produces, instead of the original, purely unsupervised reachability plot, a colored version of the plot where every unlabeled object of the dataset is assigned a class label (i.e., a color) from the labeled set, \mathbf {X}_{L} \ ...
In this paper, we propose HISSCLU, a hierarchical, density- based method for semi-supervised clustering. Instead of de- riving explicit constraints from the ...
Mar 25, 2008 · In this paper, we propose HISSCLU, a hierarchical, density-based method for semi-supervised clustering. Instead of deriving explicit constraints ...
In this paper, we propose HISSCLU, a hierarchical, density- based method for semi-supervised clustering. Instead of de- riving explicit constraints from the ...
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HISSCLU is proposed, a hierarchical, density-based method for semi-supervised clustering that allows a better preservation of the actual cluster structure, ...
In this paper, we propose HISSCLU, a hierarchical, densitybased method for semi-supervised clustering. Instead of deriving explicit constraints from the labeled ...
HISSCLU: a hierarchical density- based method for semi-supervised clustering. In Proc. 11th Int. Conf. on Extending Database Technology, Nantes,. France ...
In this paper we show how background knowledge can be used to bias a density-based clustering method for multi-density data. Experimental results confirm that ...
Semi-supervised Density-Based Clustering - Semantic Scholar
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HISSCLU is proposed, a hierarchical, density-based method for semi-supervised clustering that allows a better preservation of the actual cluster structure ...
In this paper we show how background knowledge can be used to bias a partitional density-based clustering algorithm. Our work describes how labeled objects can ...