Improved Normalized Cut for Multi-view Clustering

2021 ◽  
pp. 1-1
Author(s):  
Guo Zhong ◽  
Chi-Man Pun
Keyword(s):  
Normalized Cut

Graph matching based on fast normalized cut and multiplicative update mapping

2022 ◽  
Vol 122 ◽  
pp. 108228
Author(s):  
Jing Yang ◽  
Xu Yang ◽  
Zhang-Bing Zhou ◽  
Zhi-Yong Liu
Keyword(s):  
Graph Matching ◽  
Normalized Cut ◽  
Multiplicative Update

scholarly journals Overlapping clustering of gene expression data using penalized weighted normalized cut

2018 ◽  
Vol 42 (8) ◽  
pp. 796-811 ◽  
Author(s):  
Sebastian J. Teran Hidalgo ◽  
Tingyu Zhu ◽  
Mengyun Wu ◽  
Shuangge Ma
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Expression Data ◽  
Normalized Cut ◽  
Overlapping Clustering

Normalized cut-based saliency detection by adaptive multi-level region merging

2015 ◽  
Vol 24 (12) ◽  
pp. 5671-5683 ◽  
Author(s):  
Keren Fu ◽  
Chen Gong ◽  
Irene Yu-Hua Gu ◽  
Jie Yang
Keyword(s):  
Saliency Detection ◽  
Region Merging ◽  
Normalized Cut ◽  
Multi Level

An Improved Normalized Cut Image Segmentation Algorithm with k-Means Cluster

2014 ◽  
Vol 548-549 ◽  
pp. 1179-1184 ◽  
Author(s):  
Wen Ting Yu ◽  
Jing Ling Wang ◽  
Long Ye
Keyword(s):  
Image Segmentation ◽  
High Resolution ◽  
Normalized Cut ◽  
Resolution Image ◽  
High Resolution Image ◽  
Novel Approach ◽  
Normalized Cuts ◽  
Segmentation Methods ◽  
Improved Performance ◽  
Popular Image

Image segmentation with low computational burden has been highly regarded as important goal for researchers. One of the popular image segmentation methods is normalized cut algorithm. But it is unfavorable for high resolution image segmentation because the amount of segmentation computation is very huge [1]. To solve this problem, we propose a novel approach for high resolution image segmentation based on the Normalized Cuts. The proposed method preprocesses an image by using the normalized cut algorithm to form segmented regions, and then use k-Means clustering on the regions. The experimental results verify that the proposed algorithm behaves an improved performance comparing to the normalized cut algorithm.

Tongue Image Texture Segmentation Based on Gabor Filter Plus Normalized Cut

2010 ◽  
pp. 115-125 ◽  
Author(s):  
Jianfeng Li ◽  
Jinhuan Shi ◽  
Hongzhi Zhang ◽  
Yanlai Li ◽  
Naimin Li ◽  
...  
Keyword(s):  
Gabor Filter ◽  
Texture Segmentation ◽  
Image Texture ◽  
Normalized Cut
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