A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure.
José Ramón CanoOscar CordónFrancisco HerreraLuciano SánchezPublished in: J. Intell. Fuzzy Syst. (2002)
Keyphrases
- k means
- search procedure
- clustering algorithm
- clustering method
- spectral clustering
- data clustering
- simulated annealing
- cluster analysis
- fuzzy k means
- constrained clustering
- tabu search
- hierarchical clustering
- fuzzy c means
- search algorithm
- clustering analysis
- clustering quality
- search space
- hill climbing
- cluster centers
- fuzzy clustering
- expectation maximization
- clustering approaches
- data points
- path relinking
- rough k means