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An agglomerative hierarchical clustering algorithm based on a dissimilarity function involving the calculation of the empirical copula and on different aggregation functions is presented. The algorithm is applied to data concerning ammonia emissions from the agricultural sector.

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Copula-Based Hierarchical Clustering for Complete Dependence

  • 会议论文

  • 发表日期：

    2025年

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  • F. Marta L. Di Lascio,
  • Fabrizio Durante,
  • Aurora Gatto

摘要

An agglomerative hierarchical clustering algorithm based on a dissimilarity function involving the calculation of the empirical copula and on different aggregation functions is presented. The algorithm is applied to data concerning ammonia emissions from the agricultural sector.