Alternatives to the k-means algorithm that find better clusterings.
Greg HamerlyCharles ElkanPublished in: CIKM (2002)
Keyphrases
- k means
- data clustering
- experimental evaluation
- theoretical analysis
- clustering algorithm
- computational complexity
- preprocessing
- expectation maximization
- optimization algorithm
- computational cost
- matching algorithm
- hierarchical clustering
- clustering method
- genetic algorithm
- detection algorithm
- times faster
- cluster analysis
- segmentation algorithm
- high accuracy
- dynamic programming
- cost function
- significant improvement
- search space
- computationally efficient
- linear programming
- ant colony optimization
- self organizing maps
- objective function
- data sets
- recognition algorithm
- clustering quality