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...

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Vydáno v:	IEEE signal processing letters Ročník 30; s. 1332 - 1336
Hlavní autoři:	Chen, Huangyue, Kong, Lingchen, Qu, Wentao, Xiu, Xianchao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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