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pro vyhledávání: '"Mert Terzihan"'
Autor:
Mert Terzihan, Yuan Wang, Bryon Tjanaka, Manzil Zaheer, Avinava Dubey, Gokhan Mergen, Marc Najork, Yuchen Wu, Amr Ahmed, Andrew McCallum, Guru Guruganesh, Nicholas Monath
Publikováno v:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.
The applicability of agglomerative clustering, for inferring both hierarchical and flat clustering, is limited by its scalability. Existing scalable hierarchical clustering methods sacrifice quality for speed and often lead to over-merging of cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebbe6956e11da592de2d62449f1730ff
https://doi.org/10.1145/3447548.3467404
https://doi.org/10.1145/3447548.3467404
