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pro vyhledávání: '"Hyun Suk Ryoo"'
Publikováno v:
Symmetry, Vol 12, Iss 9, p 1514 (2020)
Fuzzy clustering has been broadly applied to classify data into K clusters by assigning membership probabilities of each data point close to K centroids. Such a function has been applied into characterizing the clusters associated with a statistical
Externí odkaz:
https://doaj.org/article/a8efedea7d844d02a59a05123564bdde
Autor:
Hyun Suk Ryoo
Publikováno v:
Proceedings of the 2021 AERA Annual Meeting.
Publikováno v:
Symmetry
Volume 12
Issue 9
Symmetry, Vol 12, Iss 1514, p 1514 (2020)
Volume 12
Issue 9
Symmetry, Vol 12, Iss 1514, p 1514 (2020)
Fuzzy clustering has been broadly applied to classify data into K clusters by assigning membership probabilities of each data point close to K centroids. Such a function has been applied into characterizing the clusters associated with a statistical