A novel clustering method with maximum number of ordered centroids and stable clusters for optimal ranking in a univariate setting
Crossref DOI link: https://doi.org/10.1007/s10260-025-00803-2
Published Online: 2025-09-01
Published Print: 2025-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bottazzi Schenone, Mariaelena https://orcid.org/0000-0002-8905-2389
Grimaccia, Elena
Vichi, Maurizio
Text and Data Mining valid from 2025-09-01
Version of Record valid from 2025-09-01
Article History
Accepted: 17 July 2025
First Online: 1 September 2025
Declarations
:
: The authors declare that they have no conflict of interest.