A New Clustering Algorithm Inspired by Insect Pollination

This paper proposed a novel flower pollination clustering algorithm, which called NIPC algorithm for arranging data sets into clusters. It starts from the phenomenon of plant aggregation and growth with similar characteristics inspired from insect pollination. In this context, the two position updating strategies allows plants to get the most comfortable position. The experiments show that it has a good effect on processing data sets with different sizes, shapes and density compared with other swarm intelligence algorithms.