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

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...

Full description

Bibliographic Details
Main Authors: Wenyuan Zhang, Xijuan Guo, Tianyu Huang, Jiale Liu, Jun Chen
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Symmetry
Subjects:
fuzzy clustering
kernel-induced distance measure
spatial constraint
kernel-based clustering method
robustness
Online Access:https://www.mdpi.com/2073-8994/11/6/753

Internet

https://www.mdpi.com/2073-8994/11/6/753

Similar Items