A review on particle swarm optimization algorithms and their applications to data clustering

@article{Rana2010ARO,
  title={A review on particle swarm optimization algorithms and their applications to data clustering},
  author={Sandeep Rana and Sanjay Jasola and Rajesh Kumar},
  journal={Artificial Intelligence Review},
  year={2010},
  volume={35},
  pages={211-222}
}
Data clustering is one of the most popular techniques in data mining. It is a method of grouping data into clusters, in which each cluster must have data of great similarity and high dissimilarity with other cluster data. The most popular clustering algorithm K-mean and other classical algorithms suffer from disadvantages of initial centroid selection, local optima, low convergence rate problem etc. Particle Swarm Optimization (PSO) is a population based globalized search algorithm that mimics… CONTINUE READING
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 113 citations. REVIEW CITATIONS

1 Figure or Table

Topics

Statistics

01020302012201320142015201620172018
Citations per Year

113 Citations

Semantic Scholar estimates that this publication has 113 citations based on the available data.

See our FAQ for additional information.