Genetic K-Means Adaption Algorithm for Clustering Stakeholders in System Requirements.
Omar ReyadWathiq H. DukhanM. H. MarghnyElnomery A. ZanatyPublished in: AMLTA (2021)
Keyphrases
- k means
- clustering method
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- expectation maximization
- fuzzy k means
- rough k means
- spectral clustering
- dynamic programming
- clustering quality
- np hard
- clustering framework
- preprocessing
- cluster centers
- unsupervised clustering
- detection algorithm
- self organizing maps
- cost function
- evolutionary algorithm
- clustering analysis
- clustering result
- fuzzy clustering algorithm
- computational cost
- input data
- synthetic and real datasets
- optimal solution
- learning algorithm
- subspace clustering
- fuzzy c means
- computational complexity
- document clustering
- microarray
- unsupervised learning
- maximum likelihood