A semi-supervised sparse K-Means algorithm.
Avgoustinos VourosEleni VasilakiPublished in: Pattern Recognit. Lett. (2021)
Keyphrases
- k means
- semi supervised
- dynamic programming
- preprocessing
- detection algorithm
- optimization algorithm
- computational cost
- clustering method
- np hard
- optimal solution
- cost function
- recognition algorithm
- simulated annealing
- expectation maximization
- objective function
- learning algorithm
- significant improvement
- data clustering
- input data
- particle swarm optimization
- matching algorithm
- regularized regression
- segmentation algorithm
- probabilistic model
- search space
- clustering algorithm