Balance-driven automatic clustering for probability density functions using metaheuristic optimization.
Thao Nguyen-TrangTrung Nguyen-ThoiKim-Ngan Nguyen-ThiTai Vo-VanPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- metaheuristic
- probability density function
- optimization problems
- combinatorial optimization
- optimization method
- tabu search
- harmony search
- density estimation
- ant colony optimization
- scatter search
- simulated annealing
- density function
- probability distribution
- evolutionary algorithm
- search space
- genetic algorithm
- clustering algorithm
- iterated local search
- optimal solution
- optimization algorithm
- k means
- suboptimal solutions
- path relinking
- traveling salesman problem
- vehicle routing problem
- objective function
- expectation maximization
- posterior probability
- distance function
- uncertain objects
- nature inspired
- bayesian framework
- global optimization
- gaussian mixture model
- particle swarm optimization
- differential evolution
- em algorithm
- mixture model
- scheduling problem
- data points
- statistical methods
- mathematical programming
- lower bound
- unsupervised learning