硕士生导师
个人信息Personal Information
学历：博士研究生毕业
学位：工学博士学位
办公地点：犀浦3号教学楼31529
毕业院校：四川大学
学科：电子信息. 软件工程. 计算机应用技术
所在单位：计算机与人工智能学院
报考该导师研究生的方式
欢迎你报考王红军老师的研究生，报考有以下方式：
1、参加西南交通大学暑期夏令营活动，提交导师意向时，选择王红军老师，你的所有申请信息将发送给王红军老师，老师看到后将和你取得联系，点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格，欢迎通过推免方式申请王红军老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为王红军老师，老师看到信息后将和你取得联系，点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考王红军老师招收的专业和方向，进入复试后提交导师意向时选择王红军老师。
4、如果你有兴趣攻读王红军老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。
Multi-objective genetic model for co-clustering ensemble
影响因子：7.9
所属单位：西南交通大学
发表刊物：Applied Soft Computing
刊物所在地：NETHERLANDS
关键字：Co-clustering; Co-clustering ensemble; Fuzzy clustering Multi-objective genetic model
摘要：Co-clustering ensemble establishes a consensus co-clustering over the data, and the ensemble process can be described as an optimization problem that can be solved by genetic algorithms. However, co- clustering ensemble methods based on genetic models are very few, in which fuzzy clustering and hard clustering is not combined. In this paper, a multi-objective genetic model for co-clustering ensemble (GMCCE) is proposed, and the corresponding objective function is designed. First, to process fuzzy samples and general samples more appropriately, bilateral fuzzy clustering and hard co-clustering are combined organically. Then, chromosomes are encoded as the membership of rows and columns, and after evolution process, the best chromosome is the consensus result. Finally, the proposed model is used to design a GMCCE algorithm. To evaluate the potential of GMCCE, extensive experiments are carried out, including comparison with base co-clustering algorithms and state-of-the-art algorithms. The results demonstrate that the GMCCE algorithm outperforms other algorithms.
合写作者：Wenlu Yang,Luqing Wang,Tianrui Li
第一作者：Yuxin Zhong
论文类型：SCI
通讯作者：Hongjun Wang
文献类型：J
卷号：135
页面范围：110058
ISSN号：1568-4946
是否译文：否
发表时间：2023-07-01
收录刊物：SCI