Ensemble Clustering via Co-Association Matrix Self-Enhancement-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Ensemble Clustering via Co-Association Matrix Self-Enhancement

Published:2023 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Jia Yuheng¹^ORCID,Tao Sirui²^ORCID,Wang Ran³^ORCID,Wang Yongheng⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Southeast University, Nanjing, China

2. School of Automation, Southeast University, Nanjing, China

3. College of Mathematics and Statistics, Shenzhen University, Shenzhen, China

4. Research Center for Big Data Intelligence, Zhejiang Lab, Hangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

National Key Research and Development Program of China

Zhejiang Lab

Basic and Applied Basic Research Foundation of Guangdong Province

Zhishan Youth Scholar Program from Southeast University

Natural Science Foundation of Shenzhen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10061157.pdf?arnumber=10061157

Cited by 13 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. Spectral ensemble clustering with doubly stochastic co-association matrix;Information Sciences;2025-01

2. Consistency-oriented clustering ensemble via data reconstruction;Applied Intelligence;2024-07-19

3. Parameter-free ensemble clustering with dynamic weighting mechanism;Pattern Recognition;2024-07

4. Adaptive weighted ensemble clustering via kernel learning and local information preservation;Knowledge-Based Systems;2024-06

5. Ensemble clustering via fusing global and local structure information;Expert Systems with Applications;2024-03

同舟云学术

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