Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm
STUDIES IN FUZZINESS AND SOFT COMPUTING, vol.391, no.1, pp.61-80, 2020 (Scopus)
- Publication Type: Article / Article
- Volume: 391 Issue: 1
- Publication Date: 2020
- Doi Number: 10.1007/978-3-030-38893-5_4
- Journal Name: STUDIES IN FUZZINESS AND SOFT COMPUTING
- Journal Indexes: Scopus, zbMATH
- Page Numbers: pp.61-80
- Open Archive Collection: Article
- Azerbaijan State University of Economics (UNEC) Affiliated: No