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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Vydané v:	Expert systems with applications Ročník 255; s. 124563
Hlavní autori:	Wang, Jikui, Wu, Yiwen, Huang, Xueyan, Zhang, Cuihong, Nie, Feiping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2024
Predmet:	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
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