An iterative algorithm for approximating convex minimization problem.
Yonghong YaoYeong-Cheng LiouJen-Chih YaoPublished in: Appl. Math. Comput. (2007)
Keyphrases
- learning algorithm
- convex minimization
- computational complexity
- preprocessing
- detection algorithm
- worst case
- improved algorithm
- times faster
- experimental evaluation
- np hard
- computational cost
- iterative optimization
- optimal solution
- dynamic programming
- significant improvement
- high accuracy
- input data
- k means
- optimization algorithm
- objective function
- evolutionary algorithm
- theoretical analysis
- computationally efficient
- expectation maximization
- particle swarm optimization
- cost function