An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection

The regularized clustering (RC) framework based on the fusion penalty has attracted extensive attention in the last decade because it does not require the prior knowledge of the number of clusters. Although the ground truth connections and weights among samples are beneficial for clustering, the per...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE signal processing letters Jg. 30; S. 1332 - 1336
Hauptverfasser:	Chen, Huangyue, Kong, Lingchen, Qu, Wentao, Xiu, Xianchao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Alternating minimization algorithm Clustering Clustering algorithms Convergence fusion penalty Linear programming Minimization Monitoring Optimization regularized clustering Signal processing algorithms spurious connections
ISSN:	1070-9908, 1558-2361
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!