Abstract: Pursuit Reinforcement guided Competitive Learning: PRCL based on relatively fast online clustering that allows grouping the data in concern into several clusters when the number of data and distribution of data are varied of reinforcement guided competitive learning 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.

Kohei Arai, “Pursuit Reinforcement Competitive Learning: PRCL based Online Clustering with Tracking Algorithm and its Application to Image Retrieval” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(9), 2016. http://dx.doi.org/10.14569/IJARAI.2016.050902

@article{Arai2016,
title = {Pursuit Reinforcement Competitive Learning: PRCL based Online Clustering with Tracking Algorithm and its Application to Image Retrieval},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.050902},
url = {http://dx.doi.org/10.14569/IJARAI.2016.050902},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {9},
author = {Kohei Arai}
}