On data clustering with a flock of artificial agents

摘要: We present a new bio-inspired algorithm that dynamically creates and visualizes groups of data. This uses the concepts flock agents move together in complex manner with simple local rules. Each agent represents one The aim creating homogeneous data evolve 2D environment. These created are visualized real time help domain expert to understand underlying class structure set, like for example realistic number classes, clusters similar data, isolated etc. several extensions this results from artificial real-world