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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Veröffentlicht in:	Fuzzy sets and systems Jg. 469; S. 108630
Hauptverfasser:	P. Branco, Diogo P., T. de Carvalho, Francisco de A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.10.2023
Schlagworte:	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
Online-Zugang:	Volltext
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