TS3FCM: trusted safe semi-supervised fuzzy clustering method for data partition with high confidence
Author:
Funder
NAFOSTED
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12133-6.pdf
Reference37 articles.
1. Antoine V, Guerrero JA, Xie J (2021) Fast semi-supervised evidential clustering. Int J Approx Reason 133:116–132
2. Arora J, Tushir M (2019) A new semi-supervised intuitionistic fuzzy C-means clustering. ICST Trans Scalable Inf Syst 7(24):159622. https://doi.org/10.4108/eai.13-7-2018.159622
3. Bezdek JC, Ehrlich R, Full W (1984) FCM: the fuzzy c-means clustering algorithm. Comput Geosci 10(2–3):191–203
4. Casalino G, Castellano G, Mencar C (2019, August) Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering. In: 11th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Atlantis press. pp. 198-204
5. Chen B, Jiang T, Chen L (2020) Weblog Fuzzy Clustering Algorithm based on Convolutional Neural Network Microprocessors and Microsystems, 103420
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning;Software Impacts;2024-09
2. Discrimination-aware safe semi-supervised clustering;Information Sciences;2024-08
3. Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering;Applied Soft Computing;2024-08
4. Explainable Impact of Partial Supervision in Semi-Supervised Fuzzy Clustering;IEEE Transactions on Fuzzy Systems;2024-05
5. Neighborhood information based semi-supervised fuzzy C-means employing feature-weight and cluster-weight learning;Chaos, Solitons & Fractals;2024-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3