Assessing the Robustness of Cluster Solutions in Emotionally-Annotated Pictures Using Monte-Carlo Simulation Stabilized K-Means Algorithm.
Marko HorvatAlan JovicKristijan BurnikPublished in: Mach. Learn. Knowl. Extr. (2021)
Keyphrases
- k means
- monte carlo simulation
- monte carlo
- data clustering
- clustering algorithm
- optimal solution
- detection algorithm
- dynamic programming
- computational efficiency
- benchmark problems
- learning algorithm
- segmentation algorithm
- expectation maximization
- preprocessing
- rough k means
- cluster centers
- search space
- clustering method
- image segmentation
- unsupervised clustering
- worst case
- objective function
- probabilistic model
- particle swarm optimization
- computational complexity
- solution quality
- genetic algorithm
- subspace clustering
- cost function
- clustering analysis
- optimal or near optimal