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Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection
In this work we present a clustering technique called \textit{multi-level conformal clustering (MLCC)}. The technique is hierarchical in nature because it can be performed at multiple significance levels which yields greater insight into the data tha
Externí odkaz:
http://arxiv.org/abs/1910.08105
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection
Publikováno v:
In Neurocomputing 15 July 2020 397:279-291
