A framework of granular-ball generation for classification via granularity tuning

In Granular-ball Computing (GbC), the radius of a granular-ball is usually defined as the maximum or average distance from all enclosed objects to the center. However, both methods face challenges in building a high-quality family of granular-balls for enhanced classification performance. The former...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2025-01, Vol.55 (1), p.63, Article 63
Hauptverfasser:	Pan, Jialong, Lang, Guangming, Xiao, Qimei, Yang, Tian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Clustering Datasets Effectiveness Feature selection Tuning
Online-Zugang:	Volltext
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