A Novel Hybrid Optimization Algorithm for Data Clustering

@inproceedings{Mller2013ANH,
  title={A Novel Hybrid Optimization Algorithm for Data Clustering},
  author={Sibylle D. M{\"u}ller},
  year={2013}
}
Clustering is the unsupervised learning in which the data is divided into similar groups (cluster) without any prior knowledge. The emerging swarm-based algorithms become an alternative to the conventional clustering methods to enhance the quality of results. Artificial Bee Colony (ABC) Algorithm is one of the Swarm Intelligent based optimization algorithm that exhibit foraging properties of a Honey Bee Swarm. Bacterial Foraging Optimization (BFO) is another Swarm intelligence algorithm which… CONTINUE READING