Two Novel Swarm Intelligence Clustering Analysis Methods
Yongquan Zhou, Bai Liu · 2009
Clustering analysis is one of the primary techniques in the field of data mining. It is an unsupervised mode of pattern recognition. Clustering analysis is a division of data into similarity groups according to the given rules. In this paper, two novel swarm intelligence clustering analysis methods base on artificial fish-school algorithm and population migration algorithm are proposed. The results of the experiments show that the two new swarm intelligence clustering analysis methods can efficiently and accurately classify class data.