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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 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 than perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::615f15c709f71ab27529bf95b71a1785
http://arxiv.org/abs/1910.08105
http://arxiv.org/abs/1910.08105
