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.