Improving K-means clustering algorithm with the intelligent water drops (IWD) algorithm.
Hamed Shah-HosseiniPublished in: Int. J. Data Min. Model. Manag. (2013)
Keyphrases
- k means
- learning algorithm
- improved algorithm
- optimization algorithm
- high accuracy
- optimal solution
- detection algorithm
- objective function
- computational complexity
- selection algorithm
- times faster
- experimental evaluation
- estimation algorithm
- hierarchical clustering
- particle swarm optimization
- simulated annealing
- computational cost
- search space
- dynamic programming
- cost function
- significant improvement
- neural network
- similarity measure
- preprocessing
- convex hull
- matching algorithm
- experimental study
- segmentation algorithm
- computationally efficient
- intelligent systems
- maximum likelihood
- input data