Fuzzy clustering ensemble by optimization approach based on clustering reliability
محورهای موضوعی : مجله بین المللی ریاضیات صنعتیBehrouz Minaei-Bidgoli 1 , Ali Bagherinia 2 , Mehdi Hossinzadeh 3 , Hamid Parvin 4
1 - Computer Engineering Department, Iran aUniversity of Science and Technology, Tehran, Iran
2 - Department of Computer Engineering, Science and Research Branch, ,Islamic Azad university, Tehran, Iran
3 - Iran University of Medical Sciences, Tehran, Iran
Computer Science, University of Human Development, Sulaimaniyah, Iraq
4 - Department of Engineering, Mamasani Branch, ,Islamic Azad university, Mamasani, Iran
کلید واژه: Fuzzy Clustering Ensemble, Fuzzy Clustering Reliability, Median Partition, Sequential Quadratic Programming,
چکیده مقاله :
In this paper, we convert the fuzzy clustering ensemble consensus function problem into an optimization problem based on the reliability-based co-association matrix that minimize distance between co-association matrix of final clustering and co-association matrix of base-clusterings in the ensemble. The optimization problem is a constrained nonlinear objective function and we solve it by sparse sequential quadratic programming (SSQP).
In this paper, we convert the fuzzy clustering ensemble consensus function problem into an optimization problem based on the reliability-based co-association matrix that minimize distance between co-association matrix of final clustering and co-association matrix of base-clusterings in the ensemble. The optimization problem is a constrained nonlinear objective function and we solve it by sparse sequential quadratic programming (SSQP).
