Projected fuzzy c-means clustering algorithm with instance penalty

At present, high-dimensional data clustering has become a vital research field in machine learning. Traditional clustering algorithms cannot perform well on high-dimensional data, where the clustering task is usually divided into two stages: dimensionality reduction first and clustering later. In ge...

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Veröffentlicht in:	Expert systems with applications Jg. 255; S. 124563
Hauptverfasser:	Wang, Jikui, Wu, Yiwen, Huang, Xueyan, Zhang, Cuihong, Nie, Feiping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2024
Schlagworte:	Dimensionality reduction Fuzzy c-means clustering Instance penalty Principal component analysis Dimensionality reduction Fuzzy c-means clustering Instance penalty Principal component analysis
ISSN:	0957-4174
Online-Zugang:	Volltext
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