@article {IOPORT.06091574,
    author       = {Zhang, Hongyan and Liu, Xiyu and Fu, Ping},
    title        = {An boundaries detection algorithm for grid-based clustering.},
    year         = {2011},
    journal      = {Control and Decision},
    volume       = {26},
    number       = {12},
    issn         = {1001-0920},
    pages        = {1846-1850},
    publisher    = {Editorial Office of Control and Decision, Northeastern University, Shenyang},
    abstract     = {Summary: An boundaries detection algorithm for grid-based clustering is proposed in this paper, which can find lost edges near by the density units. It is good for the special dataset with the irregular, and it can amend the errors because of the unreasonable threshold value or grids. At the same time, the cost time has little impact on clustering process, so the improved method is effective.},
    identifier   = {06091574},
}