Improving Community Detection in Time-Evolving Networks Through Clustering Fusion
Traditional community detection algorithms are easily interfered by noises and outliers. Therefore, we propose to leverage a clustering fusion method to improve the results of community detection. Usually, there are two issues in clustering ensembles: how to generate efficient diversified cluster me...
Main Authors: | Jin Ran, Kou Chunhai, Liu Ruijuan |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2015-06-01
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Series: | Cybernetics and Information Technologies |
Subjects: | |
Online Access: | https://doi.org/10.1515/cait-2015-0029 |
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