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IEEE Access · 2022 · Journal article

Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning

Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi

Osaka Metropolitan University · Osaka Prefecture University · Southern University of Science and Technology

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Date
2022-01-01
Citations
16
arXiv
2201.10713 ↗
Cite
@article{masuyama2022adaptive,
  title = {Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning},
  author = {Naoki Masuyama and Narito Amako and Yuna Yamada and Yusuke Nojima and Hisao Ishibuchi},
  year = {2022},
  journal = {IEEE Access},
  eprint = {2201.10713},
  archivePrefix = {arXiv},
  doi = {10.1109/ACCESS.2022.3186479},
  url = {https://arxiv.org/abs/2201.10713},
}