An efficient algorithm for clustered integer least squares problems.
Joohwan ChunJaehyun ParkPublished in: Numer. Linear Algebra Appl. (2012)
Keyphrases
- least squares
- detection algorithm
- experimental evaluation
- computational complexity
- learning algorithm
- sparse linear
- computational cost
- cost function
- np hard
- computationally efficient
- efficient algorithms for solving
- optimization algorithm
- benchmark problems
- recognition algorithm
- levenberg marquardt
- iterative algorithms
- minimum cost flow
- preprocessing
- search space
- worst case
- dynamic programming
- significant improvement
- curve fitting
- test problems
- k means
- times faster
- matching algorithm
- parameter estimation
- expectation maximization
- linear programming
- high accuracy
- neural network
- optimal or near optimal
- similarity measure
- clustering algorithm
- objective function
- convergence rate
- np complete
- optimization problems
- simulated annealing