1.
Szilagyi, Laszlo ✉ ; Lefkovits, Szidonia ; Szilagyi, Sandor M.
Self-Tuning Possibilistic c-Means Clustering Models
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 27 pp. 142-158. , 17 p. (2019)
DOI WoS Scopus
Publication:31056733 Published Core Citing Journal Article (Article ) Scientific
Citing papers: 4 | Independent citation: 3 | Self citation: 1 | Unknown citation: 0 | Number of citations in WoS: 3 | Number of citations in Scopus: 2 | WoS/Scopus assigned: 4 | Number of citations with DOI: 4
Article (Journal Article) | Scientific[31056733] [Approved]
All citations+mentions: 4, External citations: 3, Self citations: 1, Unhandled citations: 0
2.
Gosztolya, G ; Szilágyi, L
Application of fuzzy and possibilistic c-means clustering models in blind speaker clustering
ACTA POLYTECHNICA HUNGARICA 12 : 7 pp. 41-56. , 16 p. (2015)
DOI WoS Scopus SZTE Publicatio
Publication:2992199 Validated Core Citing Journal Article (Article ) Scientific
Citing papers: 14 | Independent citation: 9 | Self citation: 5 | Unknown citation: 0 | Number of citations in WoS: 11 | Number of citations in Scopus: 13 | WoS/Scopus assigned: 13 | Number of citations with DOI: 11
Article (Journal Article) | Scientific[2992199] [Validated]
All citations+mentions: 14, External citations: 9, Self citations: 5, Unhandled citations: 0
3.
Szilágyi, L ; Szilágyi, SM
Generalization rules for the suppressed fuzzy c-means clustering algorithm
NEUROCOMPUTING 139 pp. 298-309. , 12 p. (2014)
DOI ScienceDirect WoS Scopus
Publication:2698866 Validated Core Citing Journal Article (Article ) Scientific
Citing papers: 34 | Independent citation: 24 | Self citation: 10 | Unknown citation: 0 | Number of citations in WoS: 27 | Number of citations in Scopus: 28 | WoS/Scopus assigned: 31 | Number of citations with DOI: 30
Article (Journal Article) | Scientific[2698866] [Validated]
All citations+mentions: 34, External citations: 24, Self citations: 10, Unhandled citations: 0
4.
Szilágyi, László
Fuzzy-possibilistic product partition: A novel robust approach to c-means clustering
In: Torra, V; Narakawa, Y; Yin, J; Long, J (eds.) Modeling Decisions for Artificial Intelligence
Heidelberg, Germany, Berlin, Germany : Springer Dordrecht (2011) 272 p. pp. 150-161. , 12 p.
DOI Scopus
Publication:3344749 Published Core Chapter in Book (Conference paper ) Scientific
Citing papers: 29 | Independent citation: 17 | Self citation: 12 | Unknown citation: 0 | Number of citations in WoS: 24 | Number of citations in Scopus: 27 | WoS/Scopus assigned: 29 | Number of citations with DOI: 29
Conference paper (Chapter in Book) | Scientific[3344749] [Approved]
All citations+mentions: 29, External citations: 17, Self citations: 12, Unhandled citations: 0
2026-04-10 18:14