Benchmarking Swarm Intelligence Clustering Algorithms with Case study of Medical Data

Clustering is a well known problem in computer science. Recently, some researchers applied swarm intelligence algorithms to solve the clustering problem, e.g. PSO clustering, Firefly clustering, Bat clustering, etc. Swarm intelligence algorithms are popular in the optimization community. The core idea of swarm intelligence algorithms is imitating behaviors of creatures in nature, especially those creatures that have a habit of swarming together, e.g. ants, fireflies, bees, etc. It is believed that there are some underlying reasons for their behavior, e.g.

Source: Computerized Medical Imaging and Graphics - June 20, 2016 Category: Radiology Authors: Xiaoping Min, Liansheng Liu, Yuying He, Xueyuan Gong, Simon Fong, Qiwen Xu, Kelvin K.L. Wong Source Type: research