Complexity Clustering of BPMN Models: Initial Experiments with the K-means Algorithm.
Chrysa FotoglouGeorge TsakalidisKostas VergidisAlexander ChatzigeorgiouPublished in: ICDSST (2020)
Keyphrases
- k means
- clustering method
- clustering algorithm
- hierarchical clustering
- rough k means
- worst case
- data clustering
- computational cost
- probabilistic model
- expectation maximization
- unsupervised clustering
- fuzzy k means
- dynamic programming
- detection algorithm
- computational complexity
- learning algorithm
- cluster analysis
- space complexity
- document clustering
- spectral clustering
- unsupervised learning
- memory requirements
- fuzzy c means
- cluster centers
- clustering approaches
- clustering result
- particle swarm optimization
- kohonen self organizing maps
- classical clustering algorithms
- similarity measure
- instance level constraints
- objective function
- fuzzy clustering algorithm
- process model
- synthetic datasets
- model selection
- self organizing maps