COOLCAT: an entropy-based algorithm for categorical clustering.
Daniel BarbaráYi LiJulia CoutoPublished in: CIKM (2002)
Keyphrases
- k means
- clustering method
- learning algorithm
- dynamic programming
- detection algorithm
- times faster
- data clustering
- hierarchical clustering
- computational complexity
- optimization algorithm
- matching algorithm
- experimental evaluation
- similarity function
- recognition algorithm
- convergence rate
- similarity measure
- improved algorithm
- preprocessing
- fuzzy clustering
- data mining
- density based clustering algorithm
- expectation maximization
- particle swarm optimization
- worst case
- computational cost
- np hard
- cost function
- multi objective
- search space
- lower bound
- objective function