Improving K-means clustering algorithm with the intelligent water drops (IWD) algorithm

@article{ShahHosseini2013ImprovingKC,
  title={Improving K-means clustering algorithm with the intelligent water drops (IWD) algorithm},
  author={Hamed Shah-Hosseini},
  journal={IJDMMM},
  year={2013},
  volume={5},
  pages={301-317}
}
In this paper, the K-means algorithm for data clustering is improved by the swarm-based nature-inspired optimisation algorithm, the intelligent water drops (IWD) algorithm. The K-means algorithm is an iterative algorithm in which the number of clusters is given in advance. Although the K-means is fast to converge, it is sensitive to the initial conditions… CONTINUE READING