Logo image
Back
Copula-based hierarchical clustering for complete dependence
Conference proceeding   Peer reviewed

Copula-based hierarchical clustering for complete dependence

Francesca Marta Lilja Di Lascio, Fabrizio Durante and Aurora Gatto
Methodological and Applied Statistics and Demography II: SIS 2024, Short Papers, Solicited Sessions, pp.519-524
Italian Statistical Society Series on Advances in Statistics
52nd Scientific meeting of the Italian Statistical Society (SIS 2024) (Bari, 17/06/2024–20/06/2024)
2025
DOI: https://doi.org/10.1007/978-3-031-64350-7_87
Handle:
https://hdl.handle.net/10863/47075

Abstract

Clustering Copula Agricultural statistics Unsupervised learning
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.
url
https://link.springer.com/chapter/10.1007/978-3-031-64350-7_87View

Details

Metrics

1 Record Views
Logo image