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DAOC: Stable Clustering of Large Networks
[article]
2019
arXiv
pre-print
Clustering is a crucial component of many data mining systems involving the analysis and exploration of various data. Data diversity calls for clustering algorithms to be accurate while providing stable (i.e., deterministic and robust) results on arbitrary input networks. Moreover, modern systems often operate with large datasets, which implicitly constrains the complexity of the clustering algorithm. Existing clustering techniques are only partially stable, however, as they guarantee either
arXiv:1909.08786v2
fatcat:mswptiwr4nh53khdvt4et2ag4m