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This paper examines metric spaces in which the distance between any pair of nodes is given by an interval. The goal is to investigate methods for hierarchical clustering, i.e., a family of nested partitions indexed by a connectivity parameter, deduced from the underlying distance intervals of the metric spaces. Our construction is based on designing admissible methods abiding to the axioms of value...
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