Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm
Crossref DOI link: https://doi.org/10.1007/978-3-030-38893-5_4
Published Online: 2020-03-06
Published Print: 2020
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kreinovich, Vladik
Kosheleva, Olga
Shahbazova, Shahnaz N.
Sriboonchitta, Songsak
Text and Data Mining valid from 2020-01-01
Chapter History
First Online: 6 March 2020