Improving spectral clustering with deep embedding, cluster estimation and metric learning

Spectral clustering is one of the most popular modern clustering algorithms. It is easy to implement, can be solved efficiently, and very often outperforms other traditional clustering algorithms such as k -means. However, spectral clustering could be insufficient when dealing with most datasets hav...

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Veröffentlicht in:	Knowledge and information systems 2021-03, Vol.63 (3), p.675-694
Hauptverfasser:	Duan, Liang, Ma, Shuai, Aggarwal, Charu, Sathe, Saket
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Computer Science Data Mining and Knowledge Discovery Database Management Datasets Embedding Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business Machine learning Regular Paper Similarity Spectra
Online-Zugang:	Volltext
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