A convergence and stability study of the iterated Lubkin transformation and the Theta-algorithm.
Avram SidiPublished in: Math. Comput. (2003)
Keyphrases
- cost function
- experimental evaluation
- times faster
- iterative algorithms
- experimental study
- improved algorithm
- detection algorithm
- np hard
- recognition algorithm
- global convergence
- simulation study
- clustering method
- convergence rate
- learning algorithm
- expectation maximization
- worst case
- selection algorithm
- dynamic programming
- convergence property
- k means
- objective function
- computational complexity
- computationally efficient
- weight update
- matching algorithm
- theoretical analysis
- computational cost
- search space
- reinforcement learning
- high accuracy
- association rules
- faster convergence
- preprocessing
- similarity measure