Simulation results show that the algorithm can achieve more stable clustering accuracy on the benchmarkdata sets.
实验结果显示，该算法在不同结构和维数的数据集上都取得了更稳定的聚类精度。
2
Your hardware vendor should have benchmarkdata stating the expected Memory, CPU (FLOPS), Disk, and Network performance.
硬件厂商应该有基准测试数据，这些数据说明预期的内存、CPU (FLOPS)、磁盘和网络性能。
3
Although this is a sizing example, IBM sizing tools rely not only on the derived benchmarkdata, but also on analysis and feedback from both customer and internal production environments.