A semi-supervised sparse K-Means algorithm.
Avgoustinos VourosEleni VasilakiPublished in: CoRR (2020)
Keyphrases
- k means
- semi supervised
- learning algorithm
- clustering method
- computational cost
- matching algorithm
- significant improvement
- dynamic programming
- data clustering
- objective function
- detection algorithm
- machine learning
- expectation maximization
- simulated annealing
- probabilistic model
- preprocessing
- computational complexity
- cost function
- segmentation algorithm
- optimization algorithm
- similarity measure
- face recognition
- data sets
- semi supervised classification