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A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements

Abstract Cluster analysis can also detect abnormalities besides building a basis for identifying elements into clusters. Detecting abnormalities is a highly developed feature in the field of unsupervised learning. However, existing studies have mainly focused on discrete data, not probability densit...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Hung Tran-Nam, Thao Nguyen-Trang, Ha Che-Ngoc
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-08-01
Schriftenreihe:Scientific Reports
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Online-Zugang:https://doi.org/10.1038/s41598-024-68323-9
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