%0 Journal Article
	%A Pham Van Nha and  Le Cam Binh
	%D 2021
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 171, 2021
	%T Model of Optimal Centroids Approach for Multivariate Data Classification
	%U https://publications.waset.org/pdf/10011903
	%V 171
	%X Particle swarm optimization (PSO) is a
population-based stochastic optimization algorithm. PSO was
inspired by the natural behavior of birds and fish in migration
and foraging for food. PSO is considered as a multidisciplinary
optimization model that can be applied in various optimization
problems. PSO’s ideas are simple and easy to understand but PSO
is only applied in simple model problems. We think that in order to
expand the applicability of PSO in complex problems, PSO should
be described more explicitly in the form of a mathematical model. In
this paper, we represent PSO in a mathematical model and apply in
the multivariate data classification. First, PSOs general mathematical
model (MPSO) is analyzed as a universal optimization model. Then,
Model of Optimal Centroids (MOC) is proposed for the multivariate
data classification. Experiments were conducted on some benchmark
data sets to prove the effectiveness of MOC compared with several
proposed schemes.
	%P 31 - 36