Adaptive Hierarchical Clustering Using Ordinal Queries

  title={Adaptive Hierarchical Clustering Using Ordinal Queries},
  author={Ehsan Emamjomeh-Zadeh and David Kempe},
In many applications of clustering (for example, ontologies or clusterings of animal or plant species), hierarchical clusterings are more descriptive than a flat clustering. A hierarchical clustering over n elements is represented by a rooted binary tree with n leaves, each corresponding to one element. The subtrees rooted at interior nodes capture the clusters. In this paper, we study active learning of a hierarchical clustering using only ordinal queries. An ordinal query consists of a set of… CONTINUE READING
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