Medoid based semi-supervised fuzzy clustering algorithms for multi-view relational data

In this paper we present two novel families of semi-supervised multi-view clustering algorithms for relational data, providing relevance weights for views and cluster representatives. The families differ by their cluster representative approach: set-medoids and vector set-medoids. Each family posses...

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Vydané v:	Fuzzy sets and systems Ročník 469; s. 108630
Hlavní autori:	P. Branco, Diogo P., T. de Carvalho, Francisco de A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.10.2023
Predmet:	Multi-view data Pairwise constraints Relational data Semi-supervised fuzzy clustering Set-medoids Weighted views Pairwise constraints Relational data Set-medoids Weighted views Multi-view data Semi-supervised fuzzy clustering
ISSN:	0165-0114
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