External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Comparison of Gradient Descent Methods in Online Fuzzy Co-clustering

Keiko Kida, Seiki Ubukata, Akira Notsu, Katsuhiro Honda. Comparison of Gradient Descent Methods in Online Fuzzy Co-clustering. In International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019, New Taipei City, Taiwan, November 7-10, 2019. pages 9-14, IEEE, 2019. [doi]

Authors

Keiko Kida

This author has not been identified. Look up 'Keiko Kida' in Google

Seiki Ubukata

This author has not been identified. Look up 'Seiki Ubukata' in Google

Akira Notsu

This author has not been identified. Look up 'Akira Notsu' in Google

Katsuhiro Honda

This author has not been identified. Look up 'Katsuhiro Honda' in Google
runs on