wanghongjun
Research Associate
Supervisor of Master's Candidates
- Master Tutor
- Education Level:PhD graduate
- Degree:Doctor of engineering
- Business Address:犀浦3号教学楼31529
- Professional Title:Research Associate
- Alma Mater:四川大学
- Supervisor of Master's Candidates
- School/Department:计算机与人工智能学院
- Discipline:Electronic Information
Software Engineering
Computer Application Technology
Contact Information
- PostalAddress:
- Email:
- Paper Publications
Convergence Analysis of Semi-supervised Clustering Ensemble
- DOI number:10.1109/ICIST.2013.6747660
- Affiliation of Author(s):西南交通大学
- Journal:2013 IEEE Third International Conference on Information Science and Technology (ICIST)
- Place of Publication:US
- Key Words:convergence learning (artificial intelligence pattern clustering convergence analysis ensemble learning semisupervised clustering ensemble semisupervised learning Convergence Diabetes Electronic mail
- Abstract:Semi-supervised clustering ensemble fully integrates the advantages of semi-supervised learning, clustering analysis and ensemble learning, as well as improves the performance of clustering. There are many works on the algorithm and the consensus function of semi-supervised clustering ensemble, but there are few studies in the theoretical analysis. In this paper, we analyze the convergence of semi-supervised clustering ensemble, and propose a new relabeling approach for semi-supervised clustering ensemble by majority voting. We prove that semi-supervised clustering ensemble is able to boost weak learners to strong learners which can make very accurate predictions. The experimental results on standard data sets show that the semi-supervised clustering ensemble has better performance.
- Co-author:Hongjun Wang, et al
- First Author:Dahai Chen
- Indexed by:Academic papers
- Correspondence Author:Yan Yang
- Document Code:20141817643152
- Discipline:Engineering
- First-Level Discipline:Computer Science and Technology
- Page Number:783-788
- ISSN No.:2164-4357
- Translation or Not:no
- Date of Publication:2013-05-23