On Modifications Towards Improvement of the Exploitation Phase for SOMA Algorithm with Clustering-aided Migration and Adaptive Perturbation Vector Control.
Tomas KadavyAdam ViktorinMichal PluhacekStanislav KovarPublished in: SSCI (2021)
Keyphrases
- k means
- computational complexity
- clustering method
- cost function
- learning algorithm
- control system
- search space
- recognition algorithm
- subspace clustering
- adaptive control
- learning phase
- significant improvement
- clustering algorithm
- distance metric
- dynamic programming
- matching algorithm
- preprocessing phase
- detection algorithm
- computational cost
- experimental evaluation
- optimal solution
- similarity measure
- worst case
- high accuracy
- optimization algorithm
- probabilistic model
- high dimensional data
- mathematical model
- np hard
- convergence rate
- high dimensional
- preprocessing
- training phase
- data sets