Improvement to the K-Means algorithm through a heuristics based on a bee honeycomb structure.
Joaquín Pérez OrtegaAdriana MexicanoRené Santaolaya SalgadoMiguel Angel HidalgoAlejandra MorenoRodolfo A. Pazos RangelPublished in: NaBIC (2012)
Keyphrases
- k means
- detection algorithm
- learning algorithm
- optimal solution
- dynamic programming
- high accuracy
- data sets
- computational complexity
- significant improvement
- cost function
- data clustering
- experimental evaluation
- times faster
- np hard
- search space
- similarity measure
- matching algorithm
- linear programming
- particle swarm optimization
- expectation maximization
- tree structure
- optimization algorithm
- genetic algorithm
- recognition algorithm
- segmentation algorithm
- simulated annealing
- probabilistic model
- computational cost
- spectral clustering
- hierarchical clustering
- convergence rate
- image segmentation
- graph structure
- heuristic methods