The method can achieve higher clustering accuracies by well excluding the effects of edge points and outliers, as well as adapt to databases which have very skewed density distributions.

• 该方法能够很好地排除类边缘点和噪声点的影响，并且能够适应数据集中各个实际类别密度分布不平衡的情况，最终获得较好的聚类效果。