An algorithm for clusterwise linear regression based on smoothing techniques.
Adil M. BagirovJulien UgonHijran G. MirzayevaPublished in: Optim. Lett. (2015)
Keyphrases
- experimental evaluation
- improved algorithm
- dynamic programming
- optimization algorithm
- theoretical analysis
- linear complexity
- learning algorithm
- matching algorithm
- detection algorithm
- computational cost
- preprocessing
- optimal solution
- np hard
- significant improvement
- k means
- simulated annealing
- computational complexity
- segmentation algorithm
- clustering method
- linear systems
- hierarchical clustering
- smoothing algorithm
- genetic algorithm
- integer arithmetic
- convex hull
- times faster
- maximum likelihood
- input data
- probabilistic model
- search space
- video sequences
- data structure