An approximation algorithm for multidimensional assignment problems minimizing the sum of squared errors.
Yusuke KurokiTomomi MatsuiPublished in: Discret. Appl. Math. (2009)
Keyphrases
- experimental evaluation
- detection algorithm
- improved algorithm
- dynamic programming
- objective function
- k means
- linear programming
- computational complexity
- sum of squared errors
- high accuracy
- learning algorithm
- computational cost
- cost function
- np hard
- recognition algorithm
- optimal solution
- times faster
- theoretical analysis
- optimization algorithm
- closed form
- matching algorithm
- error bounds
- probabilistic model
- classification algorithm
- particle swarm optimization
- search space
- search algorithm
- bayesian networks
- decision trees