Unsupervised Clustering on Signed Graphs with Unknown Number of Clusters
We consider the problem of unsupervised clustering on signed graphs, i.e., graphs with positive and negative edge weights. Motivated by signed cut minimization, we propose an optimization problem that minimizes the total variation of the cluster labels subject to constraints on the cluster size, aug...
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Published in | 2020 28th European Signal Processing Conference (EUSIPCO) pp. 1060 - 1064 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
Eurasip
24.01.2021
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Subjects | |
Online Access | Get full text |
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