Gravitational search algorithm and K-means for simultaneous feature selection and data clustering: a multi-objective approach.
Jay PrakashPramod Kumar SinghPublished in: Soft Comput. (2019)
Keyphrases
- data clustering
- gravitational search algorithm
- multi objective
- k means
- feature selection
- unsupervised feature selection
- evolutionary algorithm
- unsupervised learning
- multi objective optimization
- clustering algorithm
- spectral clustering
- multi objective optimization problems
- cluster analysis
- optimization algorithm
- objective function
- particle swarm optimization
- rough k means
- hierarchical clustering
- text classification
- machine learning
- genetic algorithm
- nsga ii
- bi objective
- feature subset
- self organizing maps
- feature space
- expectation maximization
- optimization problems
- semi supervised
- model selection
- feature extraction
- partitional clustering
- dimensionality reduction
- stability analysis
- cluster ensemble
- pareto optimal solutions
- clustering ensemble
- bayesian networks
- clustering method