Abstract
Pursuit Reinforcement guided Competitive Learning: PRCL, introducing pursuit algorithm on relatively fast reinforcement guided competitive learning method as more fast online-clustering scheme, when the number of data and distribution of data are varying, is proposed. One of applications of the proposed method is image portion retrievals from the relatively large scale of the images such as Earth observation satellite images. It is found that the proposed method shows relatively fast on the retrievals in comparison to the other existing conventional online-clustering such as Vector Quatization: VQ. Moreover, the proposed method shows much faster than the others for the multi-stage retrievals of image portion as well as scale estimation.