109 citations · 222 across the 19 of their papers we have counts for
4 papers · 1 filter
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
Cong Wang, Witold Pedrycz, ZhiWu Li +2
G-images refer to image data defined on irregular graph domains. This work elaborates a similarity-preserving Fuzzy C-Means (FCM) algorithm for G-image segmentation and aims to dev…
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes
Kaijie Xu, Witold Pedrycz, Zhiwu Li +2
Traditional clustering methods are limited when dealing with huge and heterogeneous groups of gene expression data, which motivates the development of bi-clustering methods. Bi-clu…
Residual-Sparse Fuzzy -Means Clustering Incorporating Morphological Reconstruction and Wavelet frames
Cong Wang, Witold Pedrycz, ZhiWu Li +2
Instead of directly utilizing an observed image including some outliers, noise or intensity inhomogeneity, the use of its ideal value (e.g. noise-free image) has a favorable impact…
Kullback-Leibler Divergence-Based Fuzzy -Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation
Cong Wang, Witold Pedrycz, ZhiWu Li +1
Although spatial information of images usually enhance the robustness of the Fuzzy C-Means (FCM) algorithm, it greatly increases the computational costs for image segmentation. To…