登录 注册 会员服务 联系我们

Clustering ensemble based on sample's stability

  • Published:2019-08 Issue: Volume:273 Page:37-55
  • ISSN:0004-3702
  • Container-title:Artificial Intelligence
  • language:en
  • Short-container-title:Artificial Intelligence

Author:

Li FeijiangORCID,Qian Yuhua,Wang Jieting,Dang ChuangyinORCID,Jing Liping

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Program for the Outstanding Innovative Teams of Higher Learning Institutions of Shanxi

Program for the San Jin Young Scholars of Shanxi

Natural Science Foundation of Shanxi Province

Innovation Program for Postgraduate Education of Shanxi

Hong Kong SAR Government

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference66 articles.

1. Survey of clustering algorithms;Xu;IEEE Trans. Neural Netw.,2005

2. A survey of clustering ensemble algorithms;Vega-Pons;Int. J. Pattern Recognit. Artif. Intell.,2011

3. A cluster ensemble method for clustering categorical data;He;Inf. Fusion,2005

4. A link-based cluster ensemble approach for categorical data clustering;Iam-On;IEEE Trans. Knowl. Data Eng.,2012

5. Stratified feature sampling method for ensemble clustering of high dimensional data;Jing;Pattern Recognit.,2015

Cited by 91 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. Robust multilayer bootstrap networks in ensemble for unsupervised representation learning and clustering;Pattern Recognition;2024-12

2. A dyeing clustering algorithm based on ant colony path-finding mechanism;Engineering Applications of Artificial Intelligence;2024-10

3. Clustering ensemble based on multiscale cluster reliability;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

4. Similarity-Based Three-Way Clustering by Using Dimensionality Reduction;Mathematics;2024-06-24

5. Fully Privacy-Preserving and Efficient Clustering Scheme based on Fully Homomorphic Encryption;ICC 2024 - IEEE International Conference on Communications;2024-06-09
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