An efficient hybrid approach based on PSO, ABC and k-means for cluster analysis.
Qiumei PuJingkai GanLirong QiuJiaxin DuanHui WangPublished in: Multim. Tools Appl. (2022)
Keyphrases
- cluster analysis
- k means
- imperialist competitive algorithm
- clustering algorithm
- categorical data
- data clustering
- clustering method
- clustering analysis
- cluster validity
- factor analysis
- particle swarm optimization
- fuzzy c means
- swarm intelligence
- particle swarm optimization pso
- clustering result
- document clustering
- spectral clustering
- data mining
- hierarchical latent class models
- expectation maximization
- fuzzy clustering
- particle swarm optimization algorithm
- unsupervised clustering
- particle swarm optimizer
- unsupervised learning
- hybrid algorithm
- maximum likelihood
- data mining techniques
- partitional clustering
- data analysis
- probabilistic model
- databases
- genetic algorithm
- agglomerative hierarchical clustering
- cluster structure
- feature extraction
- self organizing maps
- hierarchical clustering
- fitness function