近邻传播聚类算法(affinity propagation,AP)受偏向参数影响较大,很难确定最优聚类所需的参数。设计了两阶段近邻传播半监督聚类算法(two-stage semi-supervised clustering algorithm based on affinity propagation,2SAP),在整个数据集上运行半监督近邻传播算法(semi-supervised clustering based on affinity propagation,SAP),得出类代表点集合,在类代表点集合上运行SAP算法得出结果。在实际数据集上进行实验,结果证实:与算法SAP和并行近邻传播半监督聚类算法(parallel computation of semi-supervised clustering algorithm based on affinity propagation,PSAP)相比,2SAP算法的CRI和FCRI值较高,而相应的离散系数较小,说明2SAP受偏向参数的影响较小。
