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We consider the scenario of deep clustering, in which the available prior knowledge is limited. In this scenario, few existing state-of-the-art deep clustering methods can perform well for both non-complex topology and complex topology datasets. To a
Externí odkaz:
http://arxiv.org/abs/2303.03036
Autor:
Zhang Y; Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan zhang.y.av@m.titech.ac.jp., Wada Y; Fujitsu Limited, Nakahara-ku, Kawasaki, Kanagawa 211-8588, Japan.; RIKEN AIP, Chuo-ku, Tokyo 103-0027, Japan wada.yuichiro@jp.fujitsu.com., Waida H; Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan waida.h.aa@m.titech.ac.jp., Goto K; Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan kaitogoto7@gmail.com., Hino Y; Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan blueozk@gmail.com., Kanamori T; Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan.; RIKEN AIP, Chuo-ku, Tokyo 103-0027, Japan kanamori@c.titech.ac.jp.
Publikováno v:
Neural computation [Neural Comput] 2023 Jun 12; Vol. 35 (7), pp. 1288-1339.
