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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Bibliographic Details
Published in2020 28th European Signal Processing Conference (EUSIPCO) pp. 1060 - 1064
Main Authors Dittrich, Thomas, Matz, Gerald
Format Conference Proceeding
LanguageEnglish
Published Eurasip 24.01.2021
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