Kernel-Based Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm

The spatial constrained Fuzzy C-means clustering (FCM) is an effective algorithm for image segmentation. Its background information improves the insensitivity to noise to some extent. In addition, the membership degree of Euclidean distance is not suitable for revealing the non-Euclidean structure o...

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Vydané v:	Symmetry (Basel) Ročník 11; číslo 6; s. 753
Hlavní autori:	Zhang, Wenyuan, Guo, Xijuan, Huang, Tianyu, Liu, Jiale, Chen, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2019
Predmet:	Algorithms Artificial intelligence Background noise Bias Clustering Computation Distance measurement Euclidean geometry Fuzzy sets Image segmentation Kernels Neighborhoods Noise Outliers (statistics) Robustness (mathematics)
ISSN:	2073-8994, 2073-8994
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