但是较低层次的语言之上的增量的改进没有使我们坐起来，拍着前额，说“喔”！
But the incremental improvements over lower-level languages haven't made us sit up, smack our foreheads, and say "Wow!"
准确的位置是，在“全能的CMDB模型”与“Sun Cloud模型”中间的一个平衡，以及一些相应的增量的复杂层次。
The right place to be, between the "omniscient CMDB model" and the "Sun Cloud model" is somewhere in the middle, with a couple of incrementally complex layers.
在传统层次聚类基础上，提出并实现了一种基于距离的增量式聚类算法，并应用于粮食智能决策支持系统中。
In this paper an incremental distance cluster arithmetic based on traditional level cluster arithmetic is proposed and realized.
应用推荐