Post-analysis-based clustering dramatically improves the Fiduccia-Mattheyses algorithm.
Youssef SaabPublished in: EURO-DAC (1993)
Keyphrases
- k means
- learning algorithm
- preprocessing
- clustering method
- improved algorithm
- detection algorithm
- data clustering
- cost function
- recognition algorithm
- hierarchical clustering
- high accuracy
- matching algorithm
- search space
- optimal solution
- dynamic programming
- simulated annealing
- objective function
- optimization algorithm
- times faster
- ant colony optimization
- neural network
- synthetic and real datasets
- particle swarm optimization
- computational cost
- experimental evaluation
- data analysis
- theoretical analysis
- computationally efficient
- self organizing maps
- unsupervised learning
- outlier detection
- expectation maximization
- document clustering
- synthetic datasets
- clustering algorithm