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Hierarchical constraints
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DOI：10.1007/s10994-013-5397-9.png)
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Constrained clustering received a lot of attention in the last years. However, the widely used pairwise constraints are not generally applicable for hierarchical clustering, where the goal is to derive a cluster hierarchy instead of a flat partition. Therefore, we propose for the hierarchical setting-based on the ideas of pairwise constraints-the use of must-link-before (MLB) constraints. In this paper, we discuss their properties and present an algorithm that is able to create a hierarchy by considering these constraints directly. Furthermore, we propose an efficient data structure for its implementation and evaluate its effectiveness with different datasets in a text clustering scenario.
Keyword:
Constrained clustering
Hierarchical clustering
Semi-supervised learning
期刊
IF:
2.9
论文数:
2.7K
被引数:
3.4W
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