Multi DIMENSIONAL CLUSTERING (MDC) - organizing data in table (or range of a table) by multiple key values.
MULTI DIMENSIONALCLUSTERING (MDC)——根据多个键值组织表(或一个表中的范围)中的数据。
For best performance and minimal space consumption, we recommend using database partitioning, range partitioning, compression, and multi-dimensional clustering.
为了获得更好的性能和最小化空间消耗，我们建议使用数据库分区、范围分区、压缩和多维集群。
Then, in the light of high-resolution radar target one dimensional range profiles, it is decomposed in multi-resolution and the multi-resolution feature description are obtained.
然后提出了可用于高距离分辨力雷达目标识别的一维距离象多分辨分解和目标结构特征的多分辨描述方法。
The compositive multi-dimensional packet classification algorithm based on tree divided by value is scalable. It can deal with prefixes match and range match for large rule sets.
采用按值分支树的多维综合流分类算法支持前缀和范围匹配，可扩展性强，适合大容量规则数据库。
The compositive multi-dimensional packet classification algorithm based on tree divided by value is scalable. It can deal with prefixes match and range match for large rule sets.
采用按值分支树的多维综合流分类算法支持前缀和范围匹配，可扩展性强，适合大容量规则数据库。
应用推荐