Takeaki Shimizu, Seiki Ubukata, Akira Notsu, Katsuhiro Honda. Effects of Semi-supervised Learning on Rough Membership C- Means Clustering. In International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019, New Taipei City, Taiwan, November 7-10, 2019. pages 15-20, IEEE, 2019. [doi]
@inproceedings{ShimizuUNH19,
title = {Effects of Semi-supervised Learning on Rough Membership C- Means Clustering},
author = {Takeaki Shimizu and Seiki Ubukata and Akira Notsu and Katsuhiro Honda},
year = {2019},
doi = {10.1109/iFUZZY46984.2019.9066211},
url = {https://doi.org/10.1109/iFUZZY46984.2019.9066211},
researchr = {https://researchr.org/publication/ShimizuUNH19},
cites = {0},
citedby = {0},
pages = {15-20},
booktitle = {International Conference on Fuzzy Theory and Its Applications, iFUZZY 2019, New Taipei City, Taiwan, November 7-10, 2019},
publisher = {IEEE},
isbn = {978-1-7281-0840-7},
}