The data spatial cell partitioning and data object allocating methods based on the problem of boundary outlier misjudgment in cell outlier mining algorithms are discussed . then a dynamic adjustment function on dataset boundary threshold is defined and an improved algorithm on the cell - based outlier is brought forward . it can greatly reduce the amount of misjudgment on boundary outlier by the algorithm discussed in this paper without increasing the complexity and the calculating time of the original algorithm 针对算法中边界处孤立点的误判问题，给出了数据空间的单元格划分及数据对象分配方法，定义了数据集边界阈值动态调整函数，提出了基于单元的孤立点挖掘算法的改进算法，在不增加原有算法时间复杂度的前提下，极大地减少了边界处孤立点的误判。
