Spectral clustering based on similarity and dissimilarity criterion

The clustering assumption is to maximize the within-cluster similarity and simultaneously to minimize the between-cluster similarity for a given unlabeled dataset. This paper deals with a new spectral clustering algorithm based on a similarity and dissimilarity criterion by incorporating a dissimila...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Pattern analysis and applications : PAA 2017-05, Vol.20 (2), p.495-506
Hauptverfasser:	Wang, Bangjun, Zhang, Li, Wu, Caili, Li, Fan-zhang, Zhang, Zhao
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Clusters Computer Science Criteria Pattern Recognition Similarity Spectra Theoretical Advances
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!