Open AccessAchieving deep clustering through the use of variational autoencoders and similarity-based loss
Author(s) -
He Ma
Publication year - 2022
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2022484
Subject(s) - cluster analysis , autoencoder , correlation clustering , artificial intelligence , computer science , gaussian , similarity (geometry) , fuzzy clustering , pattern recognition (psychology) , cure data clustering algorithm , clustering high dimensional data , entropy (arrow of time) , data stream clustering , mixture model , data mining , deep learning , physics , quantum mechanics , image (mathematics)