Grid-entropy-based boundary points detecting algorithm
基于网格熵的边界点检测算法

In order to detect the boundary points of clusters effectively, the concept of grid-entropy and a grid-entropy-based boundary points detecting algorithm Greb were proposed, which detected boundary points by the value of grid-entropy and only needed to scan the datasets twice. As shown in the experimental results, Greb can detect boundary points effectively and efficiently on various datasets.